-
1
-
-
0031831398
-
Computer-aided diagnosis: Automatic detection of malignant masses in digitized mammograms
-
Jun.
-
A. J. Mendez, P. G. Tahoces, M. J. Lado, M. Souto, and J. J. Vidal, “Computer-aided diagnosis: Automatic detection of malignant masses in digitized mammograms,” Med Phys., vol. 25, pp. 957–64, Jun. 1998.
-
(1998)
Med Phys.
, vol.25
, pp. 957-964
-
-
Mendez, A.J.1
Tahoces, P.G.2
Lado, M.J.3
Souto, M.4
Vidal, J.J.5
-
2
-
-
63349107095
-
Computer-aided detection and diagnosis of breast cancer with mammography: Recent advances
-
Mar.
-
J. Tang, R. Rangayyan, J. Xu, I. E. Naqa, and Y. Yang, “Computer-aided detection and diagnosis of breast cancer with mammography: Recent advances,” IEEE Trans. Inf. Technol. Biomed., vol. 13, no. 2, pp. 236–251, Mar. 2009.
-
(2009)
IEEE Trans. Inf. Technol. Biomed.
, vol.13
, Issue.2
, pp. 236-251
-
-
Tang, J.1
Rangayyan, R.2
Xu, J.3
Naqa, I.E.4
Yang, Y.5
-
3
-
-
18844418270
-
-
Baltimore, MD: Lippincott Williams & Wilkins
-
R. Rubin, D. Strayer, E. Rubin, and J. McDonald, Rubin's Pathology: Clinicopathologic Foundations of Medicine. Baltimore, MD: Lippincott Williams & Wilkins, 2007.
-
(2007)
Rubin's Pathology: Clinicopathologic Foundations of Medicine
-
-
Rubin, R.1
Strayer, D.2
Rubin, E.3
McDonald, J.4
-
4
-
-
0031876216
-
Invasive carcinomas and fibroadenomas of the breast: Comparison of microvessel distributions-implications for imaging modalities
-
Aug.
-
K. L. Weind, C. F. Maier, B. K. Rutt, and M. Moussa, “Invasive carcinomas and fibroadenomas of the breast: Comparison of microvessel distributions-implications for imaging modalities,” Radiology, vol. 208, pp. 477–83, Aug. 1998.
-
(1998)
Radiology
, vol.208
, pp. 477-483
-
-
Weind, K.L.1
Maier, C.F.2
Rutt, B.K.3
Moussa, M.4
-
5
-
-
0027083396
-
Bayesian belief networks in quantitative histopathology
-
Dec.
-
P. H. Bartels, D. Thompson, M. Bibbo, and J. E. Weber, “Bayesian belief networks in quantitative histopathology,” Anal. Quant. Cytol. Histol., vol. 14, pp. 459–73, Dec. 1992.
-
(1992)
Anal. Quant. Cytol. Histol.
, vol.14
, pp. 459-473
-
-
Bartels, P.H.1
Thompson, D.2
Bibbo, M.3
Weber, J.E.4
-
6
-
-
0028223625
-
Expert system support using Bayesian belief networks in the diagnosis of fine needle aspiration biopsy specimens of the breast
-
Apr.
-
P. W. Hamilton, N. Anderson, P. H. Bartels, and D. Thompson, “Expert system support using Bayesian belief networks in the diagnosis of fine needle aspiration biopsy specimens of the breast,” J Clin. Pathol., vol. 47, pp. 329–36, Apr. 1994.
-
(1994)
J Clin. Pathol.
, vol.47
, pp. 329-336
-
-
Hamilton, P.W.1
Anderson, N.2
Bartels, P.H.3
Thompson, D.4
-
7
-
-
0035122453
-
Interobserver reproducibility of Gleason grading of prostatic carcinoma: General pathologist
-
Jan.
-
W. C. Allsbrook Jr., K. A. Mangold, M. H. Johnson, R. B. Lane, C. G. Lane, and J. I. Epstein, “Interobserver reproducibility of Gleason grading of prostatic carcinoma: General pathologist,” Hum. Pathol., vol. 32, pp. 81–8, Jan. 2001.
-
(2001)
Hum. Pathol.
, vol.32
, pp. 81-88
-
-
Allsbrook, W.C.1
Mangold, K.A.2
Johnson, M.H.3
Lane, R.B.4
Lane, C.G.5
Epstein, J.I.6
-
8
-
-
0034694715
-
Prostate biopsy grading errors: A sampling problem?
-
Dec.
-
C. R. King and J. P. Long, “Prostate biopsy grading errors: A sampling problem?,” Int. J. Cancer, vol. 90, pp. 326–30, Dec. 2000.
-
(2000)
Int. J. Cancer
, vol.90
, pp. 326-330
-
-
King, C.R.1
Long, J.P.2
-
9
-
-
0031912098
-
Gleason scores from prostate biopsies obtained with 18-gauge biopsy needles poorly predict Gleason scores of radical prostatectomy specimens
-
B. Djavan, K. Kadesky, B. Klopukh, M. Marberger, and C. G. Roehrborn, “Gleason scores from prostate biopsies obtained with 18-gauge biopsy needles poorly predict Gleason scores of radical prostatectomy specimens,” Eur. Urol., vol. 33, pp. 261–70, 1998.
-
(1998)
Eur. Urol.
, vol.33
, pp. 261-270
-
-
Djavan, B.1
Kadesky, K.2
Klopukh, B.3
Marberger, M.4
Roehrborn, C.G.5
-
10
-
-
0033780285
-
Errors in histological grading by prostatic needle biopsy specimens: Frequency and predisposing factors
-
Oct.
-
E. Ruijter, G. van Leenders, G. Miller, F. Debruyne, and C. van de Kaa, “Errors in histological grading by prostatic needle biopsy specimens: Frequency and predisposing factors,” J Pathol., vol. 192, pp. 229–33, Oct. 2000.
-
(2000)
J Pathol.
, vol.192
, pp. 229-233
-
-
Ruijter, E.1
van Leenders, G.2
Miller, G.3
Debruyne, F.4
van de Kaa, C.5
-
11
-
-
13444301360
-
Current practice of Gleason grading among genitourinary pathologists
-
Jan.
-
L. Egevad, W. C. Allsbrook Jr., and J. I. Epstein, “Current practice of Gleason grading among genitourinary pathologists,” Hum. Pathol., vol. 36, pp. 5–9, Jan. 2005.
-
(2005)
Hum. Pathol.
, vol.36
, pp. 5-9
-
-
Egevad, L.1
Allsbrook, W.C.2
Epstein, J.I.3
-
12
-
-
0031610006
-
Objective malignancy grading: A review emphasizing unbiased stereology applied to breast tumors
-
M. Ladekarl, “Objective malignancy grading: A review emphasizing unbiased stereology applied to breast tumors,” APMIS Suppl., vol. 79, pp. 1–34, 1998.
-
(1998)
APMIS Suppl.
, vol.79
, pp. 1-34
-
-
Ladekarl, M.1
-
13
-
-
85008031549
-
Gleason grade migration: changes in prostate cancer grade in the contemporary era
-
Departments of Pathology and Medicine, Cedars-Sinai, Los Angeles, CA, Reprinted from PCRI Insights
-
M. G. Daniel and J. Luthringer, “Gleason grade migration: changes in prostate cancer grade in the contemporary era,” Departments of Pathology and Medicine, Cedars-Sinai, Los Angeles, CA, 2001, vol. 9.3, Reprinted from PCRI Insights.
-
(2001)
-
-
Daniel, M.G.1
Luthringer, J.2
-
14
-
-
0027401642
-
Localized prostate cancer. Relationship of tumor volume to clinical significance for treatment of prostate cancer
-
F. S. F. T. A. Stamey, J. E. McNeal, E. A. Redwine, A. S. Whittemore, and H.-P. Schmid, “Localized prostate cancer. Relationship of tumor volume to clinical significance for treatment of prostate cancer,” Cancer, vol. 71, pp. 933–938, 1993.
-
(1993)
Cancer
, vol.71
, pp. 933-938
-
-
Stamey, F.S.F.T.A.1
McNeal, J.E.2
Redwine, E.A.3
Whittemore, A.S.4
Schmid, H.-P.5
-
15
-
-
56749181253
-
Anniversary paper: History and status of CAD and quantitative image analysis: The role of medical physics and AAPM
-
Dec.
-
M. L. Giger, H. P. Chan, and J. Boone, “Anniversary paper: History and status of CAD and quantitative image analysis: The role of medical physics and AAPM,” Med. Phys., vol. 35, pp. 5799–820, Dec. 2008.
-
(2008)
Med. Phys.
, vol.35
, pp. 5799-5820
-
-
Giger, M.L.1
Chan, H.P.2
Boone, J.3
-
16
-
-
40949153911
-
Results of a survey on digital screening mammography: Prevalence, efficiency, and use of ancillary diagnostic AIDS
-
Apr.
-
T. M. Haygood, G. J. Whitman, E. N. Atkinson, R. G. Nikolova, S. Y. Sandoval, and P. J. Dempsey, “Results of a survey on digital screening mammography: Prevalence, efficiency, and use of ancillary diagnostic AIDS,” J. Amer. Coll. Radiol., vol. 5, pp. 585–92, Apr. 2008.
-
(2008)
J. Amer. Coll. Radiol.
, vol.5
, pp. 585-592
-
-
Haygood, T.M.1
Whitman, G.J.2
Atkinson, E.N.3
Nikolova, R.G.4
Sandoval, S.Y.5
Dempsey, P.J.6
-
17
-
-
44149083291
-
Current situation and future perspectives of digital mammography
-
Apr.
-
R. Schulz-Wendtland, K. P. Hermann, T. Wacker, and W. Bautz, “Current situation and future perspectives of digital mammography,” Radiologe, vol. 48, pp. 324–34, Apr. 2008.
-
(2008)
Radiologe
, vol.48
, pp. 324-334
-
-
Schulz-Wendtland, R.1
Hermann, K.P.2
Wacker, T.3
Bautz, W.4
-
18
-
-
45949085744
-
Computer-assisted implantology: Historical background and potential outcomes-A review
-
Jun.
-
A. Azari and S. Nikzad, “Computer-assisted implantology: Historical background and potential outcomes-A review,” Int. J. Med. Robot., vol. 4, pp. 95–104, Jun. 2008.
-
(2008)
Int. J. Med. Robot.
, vol.4
, pp. 95-104
-
-
Azari, A.1
Nikzad, S.2
-
19
-
-
63449102241
-
Indications for breast magnetic resonance imaging. Consensus document “Attualita in senologia”, Florence 2007
-
Dec.
-
F. Sardanelli, G. M. Giuseppetti, G. Canavese, L. Cataliotti, S. Corcione, E. Cossu, M. Federico, L. Marotti, L. Martincich, P. Panizza, F. Podo, M. Rosselli Del Turco, C. Zuiani, C. Alfano, M. Bazzocchi, P. Belli, S. Bianchi, A. Cilotti, M. Calabrese, L. Carbonaro, L. Cortesi, C. Di Maggio, A. Del Maschio, A. Esseridou, A. Fausto, M. Gennaro, R. Girometti, R. Ienzi, A. Luini, S. Manoukian, S. Morassutt, D. Morrone, J. Nori, A. Orlacchio, F. Pane, P. Panzarola, R. Ponzone, G. Simonetti, P. Torricelli, and G. Valeri, “Indications for breast magnetic resonance imaging. Consensus document “Attualita in senologia”, Florence 2007,” Radiol. Med., vol. 113, pp. 1085–1095, Dec. 2008.
-
(2008)
Radiol. Med.
, vol.113
, pp. 1085-1095
-
-
Sardanelli, F.1
Giuseppetti, G.M.2
Canavese, G.3
Cataliotti, L.4
Corcione, S.5
Cossu, E.6
Federico, M.7
Marotti, L.8
Martincich, L.9
Panizza, P.10
Podo, F.11
Del Turco, M.R.12
Zuiani, C.13
Alfano, C.14
Bazzocchi, M.15
Belli, P.16
Bianchi, S.17
Cilotti, A.18
Calabrese, M.19
Carbonaro, L.20
Cortesi, L.21
Di Maggio, C.22
Maschio, A.D.23
Esseridou, A.24
Fausto, A.25
Gennaro, M.26
Girometti, R.27
Ienzi, R.28
Luini, A.29
Manoukian, S.30
Morassutt, S.31
Morrone, D.32
Nori, J.33
Orlacchio, A.34
Pane, F.35
Panzarola, P.36
Ponzone, R.37
Simonetti, G.38
Torricelli, P.39
Valeri, G.40
more..
-
20
-
-
34247171748
-
Computer-aided diagnosis in medical imaging: Historical review, current status and future potential
-
Jun.–Jul.
-
K. Doi, “Computer-aided diagnosis in medical imaging: Historical review, current status and future potential,” Comput. Med. Imag. Graph., vol. 31, pp. 198–211, Jun.–Jul. 2007.
-
(2007)
Comput. Med. Imag. Graph.
, vol.31
, pp. 198-211
-
-
Doi, K.1
-
21
-
-
33645778548
-
Classification algorithms for microcalcifications in mammograms (Review)
-
E. Sakka, A. Prentza, and D. Koutsouris, “Classification algorithms for microcalcifications in mammograms (Review),” Oncol. Rep., vol. 15, pp. 1049–55, 2006.
-
(2006)
Oncol. Rep.
, vol.15
, pp. 1049-1055
-
-
Sakka, E.1
Prentza, A.2
Koutsouris, D.3
-
22
-
-
44849118555
-
Assessment of magnetic resonance imaging in preoperative staging of endometrial carcinoma
-
Jun.
-
L. R. Zhu, Y. Zhang, X. Y. Wang, and Q. P. Liao, “Assessment of magnetic resonance imaging in preoperative staging of endometrial carcinoma,” Beijing Da Xue Xue Bao, vol. 38, pp. 249–51, Jun. 2006.
-
(2006)
Beijing Da Xue Xue Bao
, vol.38
, pp. 249-251
-
-
Zhu, L.R.1
Zhang, Y.2
Wang, X.Y.3
Liao, Q.P.4
-
23
-
-
0036972657
-
Mammography and computerized decision systems: a review
-
Dec.
-
A. C. Roque and T. C. Andre, “Mammography and computerized decision systems: a review,” Ann. NY Acad. Sci., vol. 980, pp. 83–94, Dec. 2002.
-
(2002)
Ann. NY Acad. Sci.
, vol.980
, pp. 83-94
-
-
Roque, A.C.1
Andre, T.C.2
-
24
-
-
0033958144
-
Is H&E morphology coming to an end?
-
H. Fox, “Is H&E morphology coming to an end?,” Brit. Med. J., vol. 53, p. 38, 2000.
-
(2000)
Brit. Med. J.
, vol.53
, pp. 38
-
-
Fox, H.1
-
25
-
-
0036852721
-
Automated subcellular localization and quantification of protein expression in tissue microarrays
-
R. Camp, G. Chung, and D. Rimm, “Automated subcellular localization and quantification of protein expression in tissue microarrays,” Nature Med., vol. 8, pp. 1323–1328, 2002.
-
(2002)
Nature Med.
, vol.8
, pp. 1323-1328
-
-
Camp, R.1
Chung, G.2
Rimm, D.3
-
26
-
-
85008047390
-
Techniques for cellular quantitation of cancer biomarkers
-
Norwood, MA: Artech House
-
A. Can, M. Bello, X. Tao, M. Gerdes, A. Sood, M. Montalto, and F. Ginty, “Techniques for cellular quantitation of cancer biomarkers,” in Microscopic Image Analysis for Life Science Applications. Norwood, MA: Artech House, 2008.
-
(2008)
Microscopic Image Analysis for Life Science Applications
-
-
Can, A.1
Bello, M.2
Tao, X.3
Gerdes, M.4
Sood, A.5
Montalto, M.6
Ginty, F.7
-
27
-
-
52449122415
-
The relative distribution of membranous and cytoplasmic met is a prognostic indicator in stage I and II colon cancer
-
F. Ginty, S. Adak, A. Can, M. Gerdes, M. Larsen, H. Cline, R. Filkins, Z. Pang, Q. Li, and M. Montalto, “The relative distribution of membranous and cytoplasmic met is a prognostic indicator in stage I and II colon cancer,” Clin. Cancer Res., vol. 14, p. 3814, 2008.
-
(2008)
Clin. Cancer Res.
, vol.14
, pp. 3814
-
-
Ginty, F.1
Adak, S.2
Can, A.3
Gerdes, M.4
Larsen, M.5
Cline, H.6
Filkins, R.7
Pang, Z.8
Li, Q.9
Montalto, M.10
-
28
-
-
0036980851
-
Advances in molecular labeling, high throughput imaging and machine intelligence portend powerful functional cellular biochemistry tools
-
J. Price, A. Goodacre, K. Hahn, L. Hodgson, E. Hunter, S. Krajewski, R. Murphy, A. Rabinovich, J. Reed, and S. Heynen, “Advances in molecular labeling, high throughput imaging and machine intelligence portend powerful functional cellular biochemistry tools,” J. Cell. Biochem., vol. 87, pp. 194–210, 2002.
-
(2002)
J. Cell. Biochem.
, vol.87
, pp. 194-210
-
-
Price, J.1
Goodacre, A.2
Hahn, K.3
Hodgson, L.4
Hunter, E.5
Krajewski, S.6
Murphy, R.7
Rabinovich, A.8
Reed, J.9
Heynen, S.10
-
29
-
-
51049121148
-
Multi-modal imaging of histological tissue sections
-
A. Can, M. Bello, H. E. Cline, X. Tao, F. Ginty, A. Sood, M. Gerdes, and M. Montalto, “Multi-modal imaging of histological tissue sections,” in 5th IEEE Int. Symp. Biomed. Imag.: From Nano to Macro, 2008, pp. 288–291.
-
(2008)
5th IEEE Int. Symp. Biomed. Imag.: From Nano to Macro
, pp. 288-291
-
-
Can, A.1
Bello, M.2
Cline, H.E.3
Tao, X.4
Ginty, F.5
Sood, A.6
Gerdes, M.7
Montalto, M.8
-
30
-
-
33749867157
-
Analyzing proteome topology and function by automated multidimensional fluorescence microscopy
-
W. Schubert, B. Bonnekoh, A. Pommer, L. Philipsen, R. Bockelmann, Y. Malykh, H. Gollnick, M. Friedenberger, M. Bode, and A. Dress, “Analyzing proteome topology and function by automated multidimensional fluorescence microscopy,” Nature Biotechnol, vol. 24, pp. 1270–1278, 2006.
-
(2006)
Nature Biotechnol
, vol.24
, pp. 1270-1278
-
-
Schubert, W.1
Bonnekoh, B.2
Pommer, A.3
Philipsen, L.4
Bockelmann, R.5
Malykh, Y.6
Gollnick, H.7
Friedenberger, M.8
Bode, M.9
Dress, A.10
-
31
-
-
49849090542
-
A framework for the automated analysis of subcellular patterns in human protein atlas images
-
J. Newberg and R. Murphy, “A framework for the automated analysis of subcellular patterns in human protein atlas images,” J. Proteome Res., vol. 7, pp. 2300–2308, 2008.
-
(2008)
J. Proteome Res.
, vol.7
, pp. 2300-2308
-
-
Newberg, J.1
Murphy, R.2
-
32
-
-
51049108246
-
Unsupervised color decomposition of histologically stained tissue samples
-
A. Rabinovich, S. Agarwal, C. Laris, J. Price, and S. Belongie, “Unsupervised color decomposition of histologically stained tissue samples,” Adv. Neural Inf. Process. Syst., vol. 16, pp. 667–674.
-
Adv. Neural Inf. Process. Syst.
, vol.16
, pp. 667-674
-
-
Rabinovich, A.1
Agarwal, S.2
Laris, C.3
Price, J.4
Belongie, S.5
-
33
-
-
20544435588
-
Infrared spectroscopic imaging for histopathologic recognition
-
D. Fernandez, R. Bhargava, S. Hewitt, and I. Levin, “Infrared spectroscopic imaging for histopathologic recognition,” Nature Biotechnol., vol. 23, pp. 469–474, 2005.
-
(2005)
Nature Biotechnol.
, vol.23
, pp. 469-474
-
-
Fernandez, D.1
Bhargava, R.2
Hewitt, S.3
Levin, I.4
-
34
-
-
37049239110
-
On the infrared spectra of nucleic acids and certain of their components
-
E. Blout and M. Fields, “On the infrared spectra of nucleic acids and certain of their components,” Science, vol. 107, p. 252, 1948.
-
(1948)
Science
, vol.107
, pp. 252
-
-
Blout, E.1
Fields, M.2
-
35
-
-
0000237923
-
Infrared spectra of tissues
-
E. R. Blout and R. C. Mellors, “Infrared spectra of tissues,” Science, vol. 110, pp. 137–138, 1949.
-
(1949)
Science
, vol.110
, pp. 137-138
-
-
Blout, E.R.1
Mellors, R.C.2
-
36
-
-
0000519446
-
Infrared absorption curves for normal and neoplastic tissues and related biological substances
-
D. Woernley, “Infrared absorption curves for normal and neoplastic tissues and related biological substances,” Cancer Res., vol. 12, p. 516, 1952.
-
(1952)
Cancer Res.
, vol.12
, pp. 516
-
-
Woernley, D.1
-
37
-
-
33744999823
-
Interrater reliability in assessing quality of diagnostic accuracy studies using the QUADAS toola preliminary assessment
-
W. Hollingworth, L. Medina, R. Lenkinski, D. Shibata, B. Bernal, D. Zurakowski, B. Comstock, and J. Jarvik, “Interrater reliability in assessing quality of diagnostic accuracy studies using the QUADAS toola preliminary assessment,” Acad. Radiol., vol. 13, pp. 803–810, 2006.
-
(2006)
Acad. Radiol.
, vol.13
, pp. 803-810
-
-
Hollingworth, W.1
Medina, L.2
Lenkinski, R.3
Shibata, D.4
Bernal, B.5
Zurakowski, D.6
Comstock, B.7
Jarvik, J.8
-
38
-
-
0043131975
-
1H MR spectroscopy of brain tumours and masses
-
1H MR spectroscopy of brain tumours and masses,” NMR Biomed., vol. 16, pp. 123–131, 2003.
-
(2003)
NMR Biomed.
, vol.16
, pp. 123-131
-
-
Howe, F.1
Opstad, K.2
-
39
-
-
0000237462
-
Analysis and interpretation of infrared microscopic maps: Visualization and classification of skin components by digital staining and multivariate analysis
-
L. M. McIntosh, J. R. Mansfield, A. N. Crowson, H. H. Mantsch, and M. Jackson, “Analysis and interpretation of infrared microscopic maps: Visualization and classification of skin components by digital staining and multivariate analysis,” Biospectroscopy, vol. 5, pp. 165–269, 1999.
-
(1999)
Biospectroscopy
, vol.5
, pp. 165-269
-
-
McIntosh, L.M.1
Mansfield, J.R.2
Crowson, A.N.3
Mantsch, H.H.4
Jackson, M.5
-
40
-
-
0035136451
-
Towards non-invasive screening of skin lesions by near-infrared spectroscopy
-
L. McIntosh, R. Summers, M. Jackson, H. Mantsch, J. Mansfield, M. Howlett, A. Crowson, and J. Toole, “Towards non-invasive screening of skin lesions by near-infrared spectroscopy,” J. Invest. Dermatol., vol. 116, pp. 175–181, 2001.
-
(2001)
J. Invest. Dermatol.
, vol.116
, pp. 175-181
-
-
McIntosh, L.1
Summers, R.2
Jackson, M.3
Mantsch, H.4
Mansfield, J.5
Howlett, M.6
Crowson, A.7
Toole, J.8
-
41
-
-
0028380501
-
Characterization of human breast biopsy specimens with near-IR Raman spectroscopy
-
C. Frank, D. Redd, T. Gansler, and R. McCreery, “Characterization of human breast biopsy specimens with near-IR Raman spectroscopy,” Anal. Chem., vol. 66, pp. 319–326, 1994.
-
(1994)
Anal. Chem.
, vol.66
, pp. 319-326
-
-
Frank, C.1
Redd, D.2
Gansler, T.3
McCreery, R.4
-
42
-
-
0242593957
-
Near-infrared Raman spectroscopy for optical diagnosis of lung cancer
-
Z. Huang, A. McWilliams, H. Lui, D. McLean, S. Lam, and H. Zeng, “Near-infrared Raman spectroscopy for optical diagnosis of lung cancer,” Int. J. Cancer, vol. 107, pp. 1047–1052, 2003.
-
(2003)
Int. J. Cancer
, vol.107
, pp. 1047-1052
-
-
Huang, Z.1
McWilliams, A.2
Lui, H.3
McLean, D.4
Lam, S.5
Zeng, H.6
-
43
-
-
33845213072
-
Discrimination of normal, benign, and malignant breast tissues by Raman spectroscopy
-
M. Chowdary, K. Kumar, J. Kurien, S. Mathew, and C. Krishna, “Discrimination of normal, benign, and malignant breast tissues by Raman spectroscopy,” Biopolymers, vol. 83, pp. 556–569, 2006.
-
(2006)
Biopolymers
, vol.83
, pp. 556-569
-
-
Chowdary, M.1
Kumar, K.2
Kurien, J.3
Mathew, S.4
Krishna, C.5
-
44
-
-
34548820470
-
Characterization of Raman spectra measured in vivo for the detection of cervical dysplasia
-
A. Robichaux-Viehoever, E. Kanter, H. Shappell, D. Billheimer, H. Jones, III, and A. Mahadevan-Jansen, “Characterization of Raman spectra measured in vivo for the detection of cervical dysplasia,” Appl. Spectrosc., vol. 61, pp. 986–993, 2007.
-
(2007)
Appl. Spectrosc.
, vol.61
, pp. 986-993
-
-
Robichaux-Viehoever, A.1
Kanter, E.2
Shappell, H.3
Billheimer, D.4
Jones, H.5
Mahadevan-Jansen, A.6
-
45
-
-
35648967106
-
Detection of endogenous biomolecules in Barrett's esophagus by Fourier transform infrared spectroscopy
-
T. Wang, G. Triadafilopoulos, J. Crawford, L. Dixon, T. Bhandari, P. Sahbaie, S. Friedland, R. Soetikno, and C. Contag, “Detection of endogenous biomolecules in Barrett's esophagus by Fourier transform infrared spectroscopy,” Proc. Nat. Acad. Sci., vol. 104, pp. 158–64, 2007.
-
(2007)
Proc. Nat. Acad. Sci.
, vol.104
, pp. 158-164
-
-
Wang, T.1
Triadafilopoulos, G.2
Crawford, J.3
Dixon, L.4
Bhandari, T.5
Sahbaie, P.6
Friedland, S.7
Soetikno, R.8
Contag, C.9
-
46
-
-
33746334778
-
Near-infrared Raman spectroscopy for oral carcinoma diagnosis
-
A. Oliveira, R. Bitar, L. S. Jr, R. Zangaro, and A. Martin, “Near-infrared Raman spectroscopy for oral carcinoma diagnosis,” Photomed. Laser Therapy, vol. 24, pp. 348–353, 2006.
-
(2006)
Photomed. Laser Therapy
, vol.24
, pp. 348-353
-
-
Oliveira, A.1
Bitar, R.2
Jr, L.S.3
Zangaro, R.4
Martin, A.5
-
47
-
-
33745951677
-
Spectral imaging perspective on cytomics
-
R. Levenson, “Spectral imaging perspective on cytomics,” Cytometry, vol. 69A, pt. A, pp. 592–600, 2006.
-
(2006)
Cytometry
, vol.69 A
, pp. 592-600
-
-
Levenson, R.1
-
48
-
-
78651578604
-
-
[Online]
-
F. Woolfe, M. Maggioni, G. Davis, F. Warner, R. Coifman, and S. Zucker, Hyper-spectral microscopic discrimination between normal and cancerous colon biopsies [Online].
-
Hyper-spectral microscopic discrimination between normal and cancerous colon biopsies
-
-
Woolfe, F.1
Maggioni, M.2
Davis, G.3
Warner, F.4
Coifman, R.5
Zucker, S.6
-
49
-
-
78049241318
-
Hyper-spectral microscopic discrimination between normal and cancerous colon biopsies
-
Available: http://www.math.duke.edu/~mauro/Papers/ColonCarcinoma (IEEE pdf)
-
Available: http://www.math.duke.edu/~mauro/Papers/ColonCarcinoma (IEEE pdf)F. Woolfe, M. Maggioni, G. Davis, F. Warner, R. Coifman, and S. Zucker, “Hyper-spectral microscopic discrimination between normal and cancerous colon biopsies,” IEEE Trans. Med. Imag.
-
IEEE Trans. Med. Imag.
-
-
Woolfe, F.1
Maggioni, M.2
Davis, G.3
Warner, F.4
Coifman, R.5
Zucker, S.6
-
50
-
-
34548821283
-
Utility of multispectral imaging for nuclear classification of routine clinical histopathology imagery
-
L. Boucheron, Z. Bi, N. Harvey, B. Manjunath, and D. Rimm, “Utility of multispectral imaging for nuclear classification of routine clinical histopathology imagery,” BMC Cell Biol., vol. 8, p. S8, 2007.
-
(2007)
BMC Cell Biol.
, vol.8
, pp. S8
-
-
Boucheron, L.1
Bi, Z.2
Harvey, N.3
Manjunath, B.4
Rimm, D.5
-
51
-
-
81855207113
-
Classification of hyperspectral colon biopsy images: Does 2D spatial analysis suffice?
-
K. Masood and N. Rajpoot, “Classification of hyperspectral colon biopsy images: Does 2D spatial analysis suffice?,” Ann. BMVA, vol. 2008, no. 4, pp. 1–15, 2008.
-
(2008)
Ann. BMVA
, vol.2008
, Issue.4
, pp. 1-15
-
-
Masood, K.1
Rajpoot, N.2
-
52
-
-
33344457137
-
Preoperative grading of gliomas by using metabolite quantification with high-spatial-resolution proton MR spectroscopic imaging
-
Mar.
-
A. Stadlbauer, S. Gruber, C. Nimsky, R. Fahlbusch, T. Hammen, R. Buslei, B. Tomandl, E. Moser, and O. Ganslandt, “Preoperative grading of gliomas by using metabolite quantification with high-spatial-resolution proton MR spectroscopic imaging,” Radiology, vol. 238, pp. 958–969, Mar. 2006.
-
(2006)
Radiology
, vol.238
, pp. 958-969
-
-
Stadlbauer, A.1
Gruber, S.2
Nimsky, C.3
Fahlbusch, R.4
Hammen, T.5
Buslei, R.6
Tomandl, B.7
Moser, E.8
Ganslandt, O.9
-
53
-
-
69549088239
-
A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS)
-
Sep.
-
P. Tiwari, A. Madabhushi, and M. Rosen, “A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS),” Med. Phys., vol. 36, no. 9, pp. 3927–3939, Sep. 2009.
-
(2009)
Med. Phys.
, vol.36
, Issue.9
, pp. 3927-3939
-
-
Tiwari, P.1
Madabhushi, A.2
Rosen, M.3
-
54
-
-
25844480547
-
Unsupervised segmentation based on robust estimation and color active contour models
-
Sep.
-
L. Yang, P. Meer, and D. Foran, “Unsupervised segmentation based on robust estimation and color active contour models,” IEEE Trans. Inf. Technol. Biomed., vol. 9, no. 3, pp. 475–486, Sep. 2005.
-
(2005)
IEEE Trans. Inf. Technol. Biomed.
, vol.9
, Issue.3
, pp. 475-486
-
-
Yang, L.1
Meer, P.2
Foran, D.3
-
55
-
-
33744986261
-
Robust detection and classification of longitudinal changes in color retinal fundus images for monitoring diabetic retinopathy
-
Jun.
-
H. Narasimha-Iyer, A. Can, B. Roysam, V. Stewart, H. Tanenbaum, A. Majerovics, and H. Singh, “Robust detection and classification of longitudinal changes in color retinal fundus images for monitoring diabetic retinopathy,” IEEE Trans. Biomed. Eng., vol. 53, no. 6, pp. 1084–1098, Jun. 2006.
-
(2006)
IEEE Trans. Biomed. Eng.
, vol.53
, Issue.6
, pp. 1084-1098
-
-
Narasimha-Iyer, H.1
Can, A.2
Roysam, B.3
Stewart, V.4
Tanenbaum, H.5
Majerovics, A.6
Singh, H.7
-
56
-
-
51049092968
-
Accurate registration and failure detection in tissue micro array images
-
M. Bello, A. Can, and X. Tao, “Accurate registration and failure detection in tissue micro array images,” in 5th IEEE Int. Symp. Biomed. Imag.: From Nano to Macro, 2008, pp. 368–371.
-
(2008)
5th IEEE Int. Symp. Biomed. Imag.: From Nano to Macro
, pp. 368-371
-
-
Bello, M.1
Can, A.2
Tao, X.3
-
57
-
-
0026589997
-
Histologic grading of prostate cancer: A perspective
-
Mar.
-
D. F. Gleason, “Histologic grading of prostate cancer: A perspective,” Hum. Pathol., vol. 23, pp. 273–9, Mar. 1992.
-
(1992)
Hum. Pathol.
, vol.23
, pp. 273-279
-
-
Gleason, D.F.1
-
58
-
-
36348993857
-
High expression of lymphocyte-associated genes in node-negative HER2+ breast cancers correlates with lower recurrence rates
-
Nov.
-
G. Alexe, G. S. Dalgin, D. Scanfeld, P. Tamayo, J. P. Mesirov, C. DeLisi, L. Harris, N. Barnard, M. Martel, A. J. Levine, S. Ganesan, and G. Bhanot, “High expression of lymphocyte-associated genes in node-negative HER2+ breast cancers correlates with lower recurrence rates,” Cancer Res., vol. 67, pp. 10669–76, Nov. 2007.
-
(2007)
Cancer Res.
, vol.67
, pp. 10669-10676
-
-
Alexe, G.1
Dalgin, G.S.2
Scanfeld, D.3
Tamayo, P.4
Mesirov, J.P.5
DeLisi, C.6
Harris, L.7
Barnard, N.8
Martel, M.9
Levine, A.J.10
Ganesan, S.11
Bhanot, G.12
-
59
-
-
0026064477
-
Histometric features for the grading of prostatic carcinoma
-
Feb.
-
M. Bibbo, D. H. Kim, T. Pfeifer, H. E. Dytch, H. Galera-Davidson, and P. H. Bartels, “Histometric features for the grading of prostatic carcinoma,” Anal. Quant. Cytol. Histol., vol. 13, pp. 61–8, Feb. 1991.
-
(1991)
Anal. Quant. Cytol. Histol.
, vol.13
, pp. 61-68
-
-
Bibbo, M.1
Kim, D.H.2
Pfeifer, T.3
Dytch, H.E.4
Galera-Davidson, H.5
Bartels, P.H.6
-
60
-
-
0030981142
-
Counting mitoses by image processing in Feulgen stained breast cancer sections: The influence of resolution
-
Jun.
-
J. A. Belien, J. P. Baak, P. J. van Diest, and A. H. van Ginkel, “Counting mitoses by image processing in Feulgen stained breast cancer sections: The influence of resolution,” Cytometry, vol. 28, pp. 135–40, Jun. 1997.
-
(1997)
Cytometry
, vol.28
, pp. 135-140
-
-
Belien, J.A.1
Baak, J.P.2
van Diest, P.J.3
van Ginkel, A.H.4
-
61
-
-
33750331574
-
Image processing for accurate cell recognition and count on histologic slides
-
Oct.
-
T. Markiewicz, S. Osowski, J. Patera, and W. Kozlowski, “Image processing for accurate cell recognition and count on histologic slides,” Anal. Quant. Cytol. Histol., vol. 28, pp. 281–91, Oct. 2006.
-
(2006)
Anal. Quant. Cytol. Histol.
, vol.28
, pp. 281-291
-
-
Markiewicz, T.1
Osowski, S.2
Patera, J.3
Kozlowski, W.4
-
62
-
-
33645010198
-
Automated nuclear segmentation in the determination of the Ki-67 labeling index in meningiomas
-
Mar.–Apr.
-
Y. J. Kim, B. F. Romeike, J. Uszkoreit, and W. Feiden, “Automated nuclear segmentation in the determination of the Ki-67 labeling index in meningiomas,” Clin. Neuropathol., vol. 25, pp. 67–73, Mar.–Apr. 2006.
-
(2006)
Clin. Neuropathol.
, vol.25
, pp. 67-73
-
-
Kim, Y.J.1
Romeike, B.F.2
Uszkoreit, J.3
Feiden, W.4
-
63
-
-
0037794404
-
Fully automated assessment of inflammatory cell counts and cytokine expression in bronchial tissue
-
Jun.
-
J. K. Sont, W. I. De Boer, W. A. van Schadewijk, K. Grunberg, J. H. van Krieken, P. S. Hiemstra, and P. J. Sterk, “Fully automated assessment of inflammatory cell counts and cytokine expression in bronchial tissue,” Amer. J. Respir. Crit. Care Med., vol. 167, pp. 1496–503, Jun. 2003.
-
(2003)
Amer. J. Respir. Crit. Care Med.
, vol.167
, pp. 1496-1503
-
-
Sont, J.K.1
De Boer, W.I.2
van Schadewijk, W.A.3
Grunberg, K.4
van Krieken, J.H.5
Hiemstra, P.S.6
Sterk, P.J.7
-
64
-
-
84896258183
-
Automated gland segmentation and Gleason grading of prostate histology by integrating low-, high-level and domain specific information
-
presented at the, Piscataway, NJ
-
S. Naik, S. Doyle, A. Madabhushi, J. Tomaszeweski, and M. Feldman, “Automated gland segmentation and Gleason grading of prostate histology by integrating low-, high-level and domain specific information,” presented at the Workshop on Microscopic Image Analysis With Applications in Biology, Piscataway, NJ, 2007.
-
(2007)
Workshop on Microscopic Image Analysis With Applications in Biology
-
-
Naik, S.1
Doyle, S.2
Madabhushi, A.3
Tomaszeweski, J.4
Feldman, M.5
-
65
-
-
34047180171
-
A watershed based segmentation method for multispectral chromosome images classification
-
P. S. Karvelis, D. I. Fotiadis, I. Georgiou, and M. Syrrou, “A watershed based segmentation method for multispectral chromosome images classification,” in Conf. Proc. IEEE Eng. Med. Biol. Soc., 2006, vol. 1, pp. 3009–12.
-
(2006)
Conf. Proc. IEEE Eng. Med. Biol. Soc.
, vol.1
, pp. 3009-3012
-
-
Karvelis, P.S.1
Fotiadis, D.I.2
Georgiou, I.3
Syrrou, M.4
-
66
-
-
33750912820
-
Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer
-
S. Petushi, F. U. Garcia, M. M. Haber, C. Katsinis, and A. Tozeren, “Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer,” BMC Med. Imag., vol. 6, p. 14, 2006.
-
(2006)
BMC Med. Imag.
, vol.6
, pp. 14
-
-
Petushi, S.1
Garcia, F.U.2
Haber, M.M.3
Katsinis, C.4
Tozeren, A.5
-
67
-
-
20544435588
-
Infrared spectroscopic imaging for histopathologic recognition
-
Apr.
-
D. C. Fernandez, R. Bhargava, S. M. Hewitt, and I. W. Levin, “Infrared spectroscopic imaging for histopathologic recognition,” Nature Biotechnol., vol. 23, pp. 469–74, Apr. 2005.
-
(2005)
Nature Biotechnol.
, vol.23
, pp. 469-474
-
-
Fernandez, D.C.1
Bhargava, R.2
Hewitt, S.M.3
Levin, I.W.4
-
68
-
-
34548821283
-
Utility of multispectral imaging for nuclear classification of routine clinical histopathology imagery
-
L. E. Boucheron, Z. Bi, N. R. Harvey, B. Manjunath, and D. L. Rimm, “Utility of multispectral imaging for nuclear classification of routine clinical histopathology imagery,” BMC Cell Biol., vol. 8, Suppl. 1, p. S8, 2007.
-
(2007)
BMC Cell Biol.
, vol.8
, pp. S8
-
-
Boucheron, L.E.1
Bi, Z.2
Harvey, N.R.3
Manjunath, B.4
Rimm, D.L.5
-
69
-
-
4143104585
-
Sampling strategy for prostate tissue microarrays for Ki-67 and androgen receptor biomarkers
-
Aug.
-
S. S. Singh, B. Qaqish, J. L. Johnson, O. H. Ford 3rd, J. F. Foley, S. J. Maygarden, and J. L. Mohler, “Sampling strategy for prostate tissue microarrays for Ki-67 and androgen receptor biomarkers,” Anal. Quant. Cytol. Histol., vol. 26, pp. 194–200, Aug. 2004.
-
(2004)
Anal. Quant. Cytol. Histol.
, vol.26
, pp. 194-200
-
-
Singh, S.S.1
Qaqish, B.2
Johnson, J.L.3
Ford, O.H.4
Foley, J.F.5
Maygarden, S.J.6
Mohler, J.L.7
-
70
-
-
0242691639
-
Comparison of pathologist-detected and automated computer-assisted image analysis detected sentinel lymph node micrometastases in breast cancer
-
Nov.
-
D. L. Weaver, D. N. Krag, E. A. Manna, T. Ashikaga, S. P. Harlow, and K. D. Bauer, “Comparison of pathologist-detected and automated computer-assisted image analysis detected sentinel lymph node micrometastases in breast cancer,” Mod. Pathol., vol. 16, pp. 1159–63, Nov. 2003.
-
(2003)
Mod. Pathol.
, vol.16
, pp. 1159-1163
-
-
Weaver, D.L.1
Krag, D.N.2
Manna, E.A.3
Ashikaga, T.4
Harlow, S.P.5
Bauer, K.D.6
-
71
-
-
1942534994
-
Computer-based malignancy grading of astrocytomas employing a support vector machine classifier, the WHO grading system and the regular hematoxylin-eosin diagnostic staining procedure
-
Apr.
-
D. Glotsos, P. Spyridonos, P. Petalas, D. Cavouras, P. Ravazoula, P. A. Dadioti, I. Lekka, and G. Nikiforidis, “Computer-based malignancy grading of astrocytomas employing a support vector machine classifier, the WHO grading system and the regular hematoxylin-eosin diagnostic staining procedure,” Anal. Quant. Cytol. Histol., vol. 26, pp. 77–83, Apr. 2004.
-
(2004)
Anal. Quant. Cytol. Histol.
, vol.26
, pp. 77-83
-
-
Glotsos, D.1
Spyridonos, P.2
Petalas, P.3
Cavouras, D.4
Ravazoula, P.5
Dadioti, P.A.6
Lekka, I.7
Nikiforidis, G.8
-
72
-
-
3042547731
-
Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections
-
Jul.
-
C. Wahlby, I. M. Sintorn, F. Erlandsson, G. Borgefors, and E. Bengtsson, “Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections,” J Microsc., vol. 215, pp. 67–76, Jul. 2004.
-
(2004)
J Microsc.
, vol.215
, pp. 67-76
-
-
Wahlby, C.1
Sintorn, I.M.2
Erlandsson, F.3
Borgefors, G.4
Bengtsson, E.5
-
73
-
-
36049020943
-
Using optical coherence tomography to evaluate skin sun damage and precancer
-
Oct.
-
V. R. Korde, G. T. Bonnema, W. Xu, C. Krishnamurthy, J. Ranger-Moore, K. Saboda, L. D. Slayton, S. J. Salasche, J. A. Warneke, D. S. Alberts, and J. K. Barton, “Using optical coherence tomography to evaluate skin sun damage and precancer,” Lasers Surg. Med., vol. 39, pp. 687–95, Oct. 2007.
-
(2007)
Lasers Surg. Med.
, vol.39
, pp. 687-695
-
-
Korde, V.R.1
Bonnema, G.T.2
Xu, W.3
Krishnamurthy, C.4
Ranger-Moore, J.5
Saboda, K.6
Slayton, L.D.7
Salasche, S.J.8
Warneke, J.A.9
Alberts, D.S.10
Barton, J.K.11
-
74
-
-
85008052081
-
Image analysis for neuroblastoma classification: Hysteresis thresholding for cell segmentation
-
Vancouver, BC, Canada
-
M. Gurcan, T. Pan, H. Shimada, and J. H. Saltz, “Image analysis for neuroblastoma classification: Hysteresis thresholding for cell segmentation,” in APIII 2006, Vancouver, BC, Canada, 2006.
-
(2006)
APIII 2006
-
-
Gurcan, M.1
Pan, T.2
Shimada, H.3
Saltz, J.H.4
-
75
-
-
34047155070
-
Image analysis for neuroblastoma classification: segmentation of cell nuclei
-
M. N. Gurcan, T. Pan, H. Shimada, and J. Saltz, “Image analysis for neuroblastoma classification: segmentation of cell nuclei,” in Conf. Proc. IEEE Eng. Med. Biol. Soc., 2006, vol. 1, pp. 4844–7.
-
(2006)
Conf. Proc. IEEE Eng. Med. Biol. Soc.
, vol.1
, pp. 4844-4847
-
-
Gurcan, M.N.1
Pan, T.2
Shimada, H.3
Saltz, J.4
-
77
-
-
33749394912
-
System for computer-aided multiresolution microscopic pathology diagnostics
-
G. Begelman, M. Pechuk, E. Rivlin, and E. Sabo, “System for computer-aided multiresolution microscopic pathology diagnostics,” in IEEE Int. Conf. Computer Vision Systems, 2006, p. 16.
-
(2006)
IEEE Int. Conf. Computer Vision Systems
, pp. 16
-
-
Begelman, G.1
Pechuk, M.2
Rivlin, E.3
Sabo, E.4
-
78
-
-
51049110072
-
Automated gland and nuclei segmentation for grading of prostate and breast cancer histopatholog
-
Paris, France
-
S. Naik, S. Doyle, S. Agner, A. Madabhushi, J. Tomaszeweski, and M. Feldman, “Automated gland and nuclei segmentation for grading of prostate and breast cancer histopatholog,” in ISBI Special Workshop on Computational Histopathology (CHIP), Paris, France, 2008, pp. 284–287.
-
(2008)
ISBI Special Workshop on Computational Histopathology (CHIP)
, pp. 284-287
-
-
Naik, S.1
Doyle, S.2
Agner, S.3
Madabhushi, A.4
Tomaszeweski, J.5
Feldman, M.6
-
79
-
-
84931009749
-
-
First ed. Cambridge, U.K.: Cambridge University Press
-
J. A. Sethian, Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics, Computer Vision and Materials Sciences, First ed. Cambridge, U.K.: Cambridge University Press, 1996.
-
(1996)
Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics, Computer Vision and Materials Sciences
-
-
Sethian, J.A.1
-
80
-
-
36348981635
-
Image analysis for automated assessment of grade of neuroblastic differentiation
-
Washington, DC, Apr. 12–15
-
J. Kong, H. Shimada, K. Boyer, J. H. Saltz, and M. Gurcan, “Image analysis for automated assessment of grade of neuroblastic differentiation,” in IEEE Int. Symp. Biomedical Imaging (ISBI), Washington, DC, Apr. 12–15, 2007.
-
(2007)
IEEE Int. Symp. Biomedical Imaging (ISBI)
-
-
Kong, J.1
Shimada, H.2
Boyer, K.3
Saltz, J.H.4
Gurcan, M.5
-
81
-
-
0037272440
-
A feature set for cytometry on digitized microscopic images
-
K. Rodenacker and E. Bengtsson, “A feature set for cytometry on digitized microscopic images,” Anal. Cell. Pathol., vol. 25, pp. 1–36, 2003.
-
(2003)
Anal. Cell. Pathol.
, vol.25
, pp. 1-36
-
-
Rodenacker, K.1
Bengtsson, E.2
-
82
-
-
0038445910
-
Image analysis can be used to detect spatial changes in the histopathology of pancreatic tumours
-
A. J. Sims, M. K. Bennett, and A. Murray, “Image analysis can be used to detect spatial changes in the histopathology of pancreatic tumours,” Phys. Med. Biol., vol. 48, pp. N183–N191, 2003.
-
(2003)
Phys. Med. Biol.
, vol.48
, pp. N183-N191
-
-
Sims, A.J.1
Bennett, M.K.2
Murray, A.3
-
83
-
-
0037108618
-
Image analysis and morphometry in the diagnosis of breast cancer
-
J. Gil, H. Wu, and B. Y. Wang, “Image analysis and morphometry in the diagnosis of breast cancer,” Microsc. Res. Tech., vol. 59, pp. 109–118, 2002.
-
(2002)
Microsc. Res. Tech.
, vol.59
, pp. 109-118
-
-
Gil, J.1
Wu, H.2
Wang, B.Y.3
-
84
-
-
78049390028
-
Object- and Spatial-Level Quantitative Analysis of Multispectral Histopathology Images for Detection and Characterization of Cancer
-
Ph.D. dissertation, Univ. of California Santa Barbara, Santa Barbara, CA
-
L. E. Boucheron, “Object- and Spatial-Level Quantitative Analysis of Multispectral Histopathology Images for Detection and Characterization of Cancer,” Ph.D. dissertation, Univ. of California Santa Barbara, Santa Barbara, CA, 2008.
-
(2008)
-
-
Boucheron, L.E.1
-
85
-
-
84857364601
-
Histopathological image analysis using model-based intermediate representations and color texture: Follicular lymphoma grading
-
to be published
-
O. Sertel, J. Kong, U. Catalyurek, G. Lozanski, J. Saltz, and M. Gurcan, “Histopathological image analysis using model-based intermediate representations and color texture: Follicular lymphoma grading,” J. Signal Process. Syst., to be published.
-
J. Signal Process. Syst.
-
-
Sertel, O.1
Kong, J.2
Catalyurek, U.3
Lozanski, G.4
Saltz, J.5
Gurcan, M.6
-
86
-
-
0033204106
-
On power-law relationships of the internet topology
-
M. Faloutsos, P. Faloutsos, and C. Faloutsos, “On power-law relationships of the internet topology,” in, 1999, pp. 251–262.
-
(1999)
, pp. 251-262
-
-
Faloutsos, M.1
Faloutsos, P.2
Faloutsos, C.3
-
87
-
-
0032482432
-
Collective dynamics of ‘small-world’ networks
-
D. Watts and S. Strogatz, “Collective dynamics of ‘small-world’ networks,” Nature, vol. 393, pp. 440–442, 1998.
-
(1998)
Nature
, vol.393
, pp. 440-442
-
-
Watts, D.1
Strogatz, S.2
-
88
-
-
24344444969
-
The architecture of biological networks
-
T. S. Deisboeck and J. Yasha Kresh, Eds. New York: Springer
-
S. Wuchty, E. Ravasz, and A. Barabasi, “The architecture of biological networks,” in Complex Systems in Biomedicine, T. S. Deisboeck and J. Yasha Kresh, Eds. New York: Springer, 2003, pp. 165–176.
-
(2003)
Complex Systems in Biomedicine
, pp. 165-176
-
-
Wuchty, S.1
Ravasz, E.2
Barabasi, A.3
-
89
-
-
0026744308
-
Three-dimensional image processing for morphometric analysis of epithelium sections
-
R. Albert, T. Schindewolf, I. Baumann, and H. Harms, “Three-dimensional image processing for morphometric analysis of epithelium sections,” Cytometry, vol. 13, pp. 759–765, 1992.
-
(1992)
Cytometry
, vol.13
, pp. 759-765
-
-
Albert, R.1
Schindewolf, T.2
Baumann, I.3
Harms, H.4
-
90
-
-
57649229046
-
Cell-graph mining for breast tissue modeling and classification
-
Lyon, France, Aug. 22–26
-
C. Bilgin, C. Demir, C. Nagi, and B. Yener, “Cell-graph mining for breast tissue modeling and classification,” in 29th Annu. Int. Conf. IEEE EMBS, Lyon, France, Aug. 22–26, 2007, pp. 5311–5314.
-
(2007)
29th Annu. Int. Conf. IEEE EMBS
, pp. 5311-5314
-
-
Bilgin, C.1
Demir, C.2
Nagi, C.3
Yener, B.4
-
91
-
-
84937947131
-
ECM aware cell-graph mining for bone tissue modeling and analysis
-
Tech. Rep. 08–07
-
C. Bilgin, P. Bullough, G. Plopper, and B. Yener, “ECM aware cell-graph mining for bone tissue modeling and analysis,” RPI Computer Science, 2008, Tech. Rep. 08–07.
-
(2008)
RPI Computer Science
-
-
Bilgin, C.1
Bullough, P.2
Plopper, G.3
Yener, B.4
-
92
-
-
24744456340
-
The cell graphs of cancer
-
C. Gunduz, B. Yener, and S. Gultekin, “The cell graphs of cancer,” Bioinformatics, vol. 20, 2004.
-
(2004)
Bioinformatics
, vol.20
-
-
Gunduz, C.1
Yener, B.2
Gultekin, S.3
-
93
-
-
36348964155
-
Automated grading of prostate cancer using architectural and textural image features
-
S. Doyle, M. Hwang, K. Shah, A. Madabhushi, M. Feldman, and J. Tomaszeweski, “Automated grading of prostate cancer using architectural and textural image features,” in ISBI, 2007, pp. 1284–1287.
-
(2007)
ISBI
, pp. 1284-1287
-
-
Doyle, S.1
Hwang, M.2
Shah, K.3
Madabhushi, A.4
Feldman, M.5
Tomaszeweski, J.6
-
94
-
-
59349094544
-
Computer-aided evaluation of neuroblatoma on whole-slide histology images: Classifying grade of neuroblastic differentiation
-
J. Kong, O. Sertel, H. Shimada, K. Boyer, J. Saltz, and M. Gurcan, “Computer-aided evaluation of neuroblatoma on whole-slide histology images: Classifying grade of neuroblastic differentiation,” Pattern Recognit., vol. 42, pp. 1080–1092, 2009.
-
(2009)
Pattern Recognit.
, vol.42
, pp. 1080-1092
-
-
Kong, J.1
Sertel, O.2
Shimada, H.3
Boyer, K.4
Saltz, J.5
Gurcan, M.6
-
95
-
-
59349090297
-
Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development
-
O. Sertel, J. Kong, H. Shimada, U. Catalyurek, J. Saltz, and M. N. Gurcan, “Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development,” Pattern Recognit., vol. 42, pp. 1093–1103, 2009.
-
(2009)
Pattern Recognit.
, vol.42
, pp. 1093-1103
-
-
Sertel, O.1
Kong, J.2
Shimada, H.3
Catalyurek, U.4
Saltz, J.5
Gurcan, M.N.6
-
96
-
-
0020737631
-
The Laplacian pyramid as a compact image code
-
Apr.
-
P. Burt and E. Adelson, “The Laplacian pyramid as a compact image code,” IEEE Trans. Commun., vol. 31, no. 4, pp. 532–540, Apr. 1983.
-
(1983)
IEEE Trans. Commun.
, vol.31
, Issue.4
, pp. 532-540
-
-
Burt, P.1
Adelson, E.2
-
97
-
-
71749111270
-
A boosting cascade for automated detection of prostate cancer from digitized histology
-
S. Doyle, A. Madabhushi, M. Feldman, and J. Tomaszeweski, “A boosting cascade for automated detection of prostate cancer from digitized histology,” Lecture Notes in Computer Science, vol. 4191, p. 504, 2006.
-
(2006)
Lecture Notes in Computer Science
, vol.4191
, pp. 504
-
-
Doyle, S.1
Madabhushi, A.2
Feldman, M.3
Tomaszeweski, J.4
-
98
-
-
0028547556
-
Floating search methods in feature selection
-
P. Pudil, J. Novovivcova, and J. Kittler, “Floating search methods in feature selection,” Pattern Recognit. Lett., vol. 15, pp. 1119–1125, 1994.
-
(1994)
Pattern Recognit. Lett.
, vol.15
, pp. 1119-1125
-
-
Pudil, P.1
Novovivcova, J.2
Kittler, J.3
-
99
-
-
0031078007
-
Feature selection: Evaluation, application, and small sample performance
-
Feb.
-
A. Jain and D. Zongker, “Feature selection: Evaluation, application, and small sample performance,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 2, pp. 153–158, Feb. 1997.
-
(1997)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.19
, Issue.2
, pp. 153-158
-
-
Jain, A.1
Zongker, D.2
-
100
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Y. Freund and R. E. Shapire, “A decision-theoretic generalization of on-line learning and an application to boosting,” J. Comput. Syst. Sci., vol. 55, pp. 119–139, 1997.
-
(1997)
J. Comput. Syst. Sci.
, vol.55
, pp. 119-139
-
-
Freund, Y.1
Shapire, R.E.2
-
101
-
-
1942418470
-
Grafting: Fast, incremental feature selection by gradient descent in function space
-
S. Perkins, K. Lacker, and J. Theiler, “Grafting: Fast, incremental feature selection by gradient descent in function space,” J. Mach. Learn. Res., vol. 3, pp. 1333–1356, 2003.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1333-1356
-
-
Perkins, S.1
Lacker, K.2
Theiler, J.3
-
102
-
-
79551684171
-
Adaptive discriminant wavelet packet transform and local binary patterns for meningioma subtype classification
-
H. Qureshi, O. Sertel, N. Rajpoot, R. Wilson, and M. Gurcan, “Adaptive discriminant wavelet packet transform and local binary patterns for meningioma subtype classification,” in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008, pp. 196–204.
-
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008
, pp. 196-204
-
-
Qureshi, H.1
Sertel, O.2
Rajpoot, N.3
Wilson, R.4
Gurcan, M.5
-
104
-
-
0035248924
-
PCA versus LDA
-
Feb.
-
A. Martinez and A. Kak, “PCA versus LDA,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 2, pp. 228–233, Feb. 2001.
-
(2001)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.23
, Issue.2
, pp. 228-233
-
-
Martinez, A.1
Kak, A.2
-
105
-
-
0042826822
-
Independent component analysis: Algorithms and applications
-
A. Hyvarinen and E. Oja, “Independent component analysis: Algorithms and applications,” Neural Netw., vol. 13, pp. 411–430, 2000.
-
(2000)
Neural Netw.
, vol.13
, pp. 411-430
-
-
Hyvarinen, A.1
Oja, E.2
-
106
-
-
84898478937
-
Unsupervised learning of shape manifolds
-
N. Rajpoot, M. Arif, and A. Bhalerao, “Unsupervised learning of shape manifolds,” in Proc. British Machine Vision Conf., 2007, pp. 312–321.
-
(2007)
Proc. British Machine Vision Conf.
, pp. 312-321
-
-
Rajpoot, N.1
Arif, M.2
Bhalerao, A.3
-
107
-
-
19644394100
-
Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps
-
R. Coifman, S. Lafon, A. Lee, M. Maggioni, B. Nadler, F. Warner, and S. Zucker, “Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps,” Proc. Nat. Acad. Sci., vol. 102, pp. 7426–7431, 2005.
-
(2005)
Proc. Nat. Acad. Sci.
, vol.102
, pp. 7426-7431
-
-
Coifman, R.1
Lafon, S.2
Lee, A.3
Maggioni, M.4
Nadler, B.5
Warner, F.6
Zucker, S.7
-
108
-
-
0037403516
-
Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
-
L. I. Kuncheva and C. J. Whitaker, “Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy,” Mach. Learn., vol. 51, pp. 181–207, 2003.
-
(2003)
Mach. Learn.
, vol.51
, pp. 181-207
-
-
Kuncheva, L.I.1
Whitaker, C.J.2
-
109
-
-
36348964155
-
Automated grading of prostate cancer using architectural and textural image features
-
Washington, DC
-
S. Doyle, Hwang, M. Shah, K. Madabhushi, A. Tomaszeweski, and J. M. Feldman, “Automated grading of prostate cancer using architectural and textural image features,” in Int. Symp. Biomedical Imaging, Washington, DC, 2007, pp. 1284–87.
-
(2007)
Int. Symp. Biomedical Imaging
, pp. 1284-1287
-
-
Doyle, S.1
Hwang2
Shah, M.3
Madabhushi, K.4
Tomaszeweski, A.5
Feldman, J.M.6
-
111
-
-
34047133289
-
Detecting prostatic adenocarcinoma from digitized histology using a multi-scale, hierarchical classification approach
-
New York, NY
-
S. Doyle, C. Rodriguez, A. Madabhushi, J. Tomaszeweski, and M. Feldman, “Detecting prostatic adenocarcinoma from digitized histology using a multi-scale, hierarchical classification approach,” in IEEE Engineering in Medicine and Biology Conf., New York, NY, 2006, pp. 4759–62.
-
(2006)
IEEE Engineering in Medicine and Biology Conf.
, pp. 4759-4762
-
-
Doyle, S.1
Rodriguez, C.2
Madabhushi, A.3
Tomaszeweski, J.4
Feldman, M.5
-
112
-
-
2142812371
-
Robust real-time face detection
-
May
-
P. Viola and M. J. Jones, “Robust real-time face detection,” Int. J. Comput. Vis., vol. 57, pp. 137–154, May 2004.
-
(2004)
Int. J. Comput. Vis.
, vol.57
, pp. 137-154
-
-
Viola, P.1
Jones, M.J.2
-
113
-
-
33947722975
-
Automated cancer diagnosis based on histopathological images: A systematic survey
-
Rensselaer Polytechnic Institute, Troy, NY
-
C. Demir and B. Yener, “Automated cancer diagnosis based on histopathological images: A systematic survey,” Rensselaer Polytechnic Institute, Troy, NY, 2006.
-
(2006)
-
-
Demir, C.1
Yener, B.2
-
114
-
-
24744456340
-
The cell graphs of cancer
-
Aug.
-
C. Gunduz, B. Yener, and S. H. Gultekin, “The cell graphs of cancer,” Bioinformatics, vol. 20, Suppl. 1, pp. i145-51, Aug. 2004.
-
(2004)
Bioinformatics
, vol.20
, pp. i145-51
-
-
Gunduz, C.1
Yener, B.2
Gultekin, S.H.3
-
115
-
-
0037937269
-
Multiwavelet grading of pathological images of prostate
-
Jun.
-
K. Jafari-Khouzani and H. Soltanian-Zadeh, “Multiwavelet grading of pathological images of prostate,” IEEE Trans. Biomed. Eng., vol. 50, no. 6, pp. 697–704, Jun. 2003.
-
(2003)
IEEE Trans. Biomed. Eng.
, vol.50
, Issue.6
, pp. 697-704
-
-
Jafari-Khouzani, K.1
Soltanian-Zadeh, H.2
-
116
-
-
0032171598
-
Automated breast tumor diagnosis and grading based on wavelet chromatin texture description
-
B. Weyn et al., “Automated breast tumor diagnosis and grading based on wavelet chromatin texture description,” Cytometry, vol. 33, pp. 32–40, 1998.
-
(1998)
Cytometry
, vol.33
, pp. 32-40
-
-
Weyn, B.1
-
117
-
-
0033970009
-
Wavelets as chromatin texture descriptors for the automated identification of neoplastic nuclei
-
G. Van deWouwer, B. Weyn, P. Scheunders, W. Jacob, E. Van Marck, and D. VAN, “Wavelets as chromatin texture descriptors for the automated identification of neoplastic nuclei,” J. Microscopy, vol. 197, p. 25, 2000.
-
(2000)
J. Microscopy
, vol.197
, pp. 25
-
-
Van deWouwer, G.1
Weyn, B.2
Scheunders, P.3
Jacob, W.4
Van Marck, E.5
-
118
-
-
34948819236
-
Multifeature prostate cancer diagnosis and Gleason grading of histological images
-
Oct.
-
A. Tabesh, M. Teverovskiy, H. Y. Pang, V. P. Kumar, D. Verbel, A. Kotsianti, and O. Saidi, “Multifeature prostate cancer diagnosis and Gleason grading of histological images,” IEEE Trans. Med. Imag., vol. 26, no. 10, pp. 1366–1378, Oct. 2007.
-
(2007)
IEEE Trans. Med. Imag.
, vol.26
, Issue.10
, pp. 1366-1378
-
-
Tabesh, A.1
Teverovskiy, M.2
Pang, H.Y.3
Kumar, V.P.4
Verbel, D.5
Kotsianti, A.6
Saidi, O.7
-
119
-
-
0032148242
-
Microscopic image analysis for quantitative measurement and feature identification of normal and cancerous colonic mucosa
-
Sep.
-
A. N. Esgiar, R. N. Naguib, B. S. Sharif, M. K. Bennett, and A. Murray, “Microscopic image analysis for quantitative measurement and feature identification of normal and cancerous colonic mucosa,” IEEE Trans. Inf. Technol. Biomed., vol. 2, no. 3, pp. 197–203, Sep. 1998.
-
(1998)
IEEE Trans. Inf. Technol. Biomed.
, vol.2
, Issue.3
, pp. 197-203
-
-
Esgiar, A.N.1
Naguib, R.N.2
Sharif, B.S.3
Bennett, M.K.4
Murray, A.5
-
120
-
-
0033645558
-
An automated machine vision system for the histological grading of cervical intraepithelial neoplasia (CIN)
-
S. Keenan, J. Diamond, W. G. McCluggage, H. Bharucha, D. Thompson, P. Bartels, and P. Hamilton, “An automated machine vision system for the histological grading of cervical intraepithelial neoplasia (CIN),” J Pathol., vol. 192, no. 3, pp. 351–362, 2000.
-
(2000)
J Pathol.
, vol.192
, Issue.3
, pp. 351-362
-
-
Keenan, S.1
Diamond, J.2
McCluggage, W.G.3
Bharucha, H.4
Thompson, D.5
Bartels, P.6
Hamilton, P.7
-
121
-
-
34548161357
-
Efficient processing of pathological images using the grid: Computer-aided prognosis of neuroblastoma
-
Monterey Bay, CA
-
B. Cambazoglu, O. Sertel, J. Kong, J. H. Saltz, M. N. Gurcan, and U. V. Catalyurek, “Efficient processing of pathological images using the grid: Computer-aided prognosis of neuroblastoma,” in Proc. Fifth Int. Workshop on Challenges of Large Applications in Distributed Environments, Monterey Bay, CA, 2007, pp. 35–41.
-
(2007)
Proc. Fifth Int. Workshop on Challenges of Large Applications in Distributed Environments
, pp. 35-41
-
-
Cambazoglu, B.1
Sertel, O.2
Kong, J.3
Saltz, J.H.4
Gurcan, M.N.5
Catalyurek, U.V.6
-
122
-
-
49049085035
-
Pathological image analysis using the GPU: Stroma classification for neuroblastoma
-
A. Ruiz, O. Sertel, M. Ujaldon, U. V. Catalyurek, J. Saltz, and M. N. Gurcan, “Pathological image analysis using the GPU: Stroma classification for neuroblastoma,” in IEEE BIBM'07, 2007.
-
(2007)
IEEE BIBM'07
-
-
Ruiz, A.1
Sertel, O.2
Ujaldon, M.3
Catalyurek, U.V.4
Saltz, J.5
Gurcan, M.N.6
-
123
-
-
0036127721
-
Optimal neural network architecture selection: Improvement in computerized detection of microcalcifications
-
Apr.
-
M. N. Gurcan, H. P. Chan, B. Sahiner, L. Hadjiiski, N. Petrick, and M. A. Helvie, “Optimal neural network architecture selection: Improvement in computerized detection of microcalcifications,” Acad. Radiol., vol. 9, pp. 420–9, Apr. 2002.
-
(2002)
Acad. Radiol.
, vol.9
, pp. 420-429
-
-
Gurcan, M.N.1
Chan, H.P.2
Sahiner, B.3
Hadjiiski, L.4
Petrick, N.5
Helvie, M.A.6
-
124
-
-
44349093005
-
Improving supervised classification accuracy using non-rigid multimodal image registration: Computer-aided detection of prostate cancer on ex vivo MRI
-
San Diego, CA
-
J. Chappelow, S. Viswanath, A. Madabhushi, M. Rosen, J. Tomaszeweski, and M. Feldman, “Improving supervised classification accuracy using non-rigid multimodal image registration: Computer-aided detection of prostate cancer on ex vivo MRI,” in SPIE Medical Imaging, San Diego, CA, 2008.
-
(2008)
SPIE Medical Imaging
-
-
Chappelow, J.1
Viswanath, S.2
Madabhushi, A.3
Rosen, M.4
Tomaszeweski, J.5
Feldman, M.6
-
125
-
-
36248940249
-
Multimodal image registration of ex vivo 4 tesla prostate MRI with whole mount histology for cancer detection
-
San Diego
-
J. Chappelow, A. Madabhushi, M. Rosen, J. Tomaszeweski, and M. Feldman, “Multimodal image registration of ex vivo 4 tesla prostate MRI with whole mount histology for cancer detection,” in SPIE Medical Imaging, San Diego, 2007, vol. 6512(1), pp. S1–S12.
-
(2007)
SPIE Medical Imaging
, vol.6512
, Issue.1
, pp. S1-S12
-
-
Chappelow, J.1
Madabhushi, A.2
Rosen, M.3
Tomaszeweski, J.4
Feldman, M.5
-
126
-
-
0035152169
-
Reconstructing a 3D structure from serial histological sections
-
S. Ourselin, A. Roche, G. Subsol, X. Pennec, and N. Ayache, “Reconstructing a 3D structure from serial histological sections,” Image Vis. Comput., vol. 19, pp. 25–31, 2001.
-
(2001)
Image Vis. Comput.
, vol.19
, pp. 25-31
-
-
Ourselin, S.1
Roche, A.2
Subsol, G.3
Pennec, X.4
Ayache, N.5
-
127
-
-
29144516340
-
Automated detection of prostatic adenocarcinoma from high resolution ex vivo MRI
-
Dec.
-
A. Madabhushi, M. Feldman, D. Metaxas, J. Tomaszeweski, and D. Chute, “Automated detection of prostatic adenocarcinoma from high resolution ex vivo MRI,” IEEE Trans. Med. Imag., vol. 24, no. 12, pp. 1611–1625, Dec. 2005.
-
(2005)
IEEE Trans. Med. Imag.
, vol.24
, Issue.12
, pp. 1611-1625
-
-
Madabhushi, A.1
Feldman, M.2
Metaxas, D.3
Tomaszeweski, J.4
Chute, D.5
-
128
-
-
51049106175
-
Automated localization and quantification of protein multiplexes via multispectral fluorescence imaging
-
M. Teverovskiy, Y. Vengrenyuk, A. Tabesh, M. Sapir, S. Fogarasi, P. Ho-Yuen, F. M. Khan, S. Hamann, P. Capodieci, M. Clayton, R. Kim, G. Fernandez, R. Mesa-Tejada, and M. J. Donovan, “Automated localization and quantification of protein multiplexes via multispectral fluorescence imaging,” in 5th IEEE Int. Symp. Biomedical Imaging: From Nano to Macro, 2008, pp. 300–303.
-
(2008)
5th IEEE Int. Symp. Biomedical Imaging: From Nano to Macro
, pp. 300-303
-
-
Teverovskiy, M.1
Vengrenyuk, Y.2
Tabesh, A.3
Sapir, M.4
Fogarasi, S.5
Ho-Yuen, P.6
Khan, F.M.7
Hamann, S.8
Capodieci, P.9
Clayton, M.10
Kim, R.11
Fernandez, G.12
Mesa-Tejada, R.13
Donovan, M.J.14
-
129
-
-
33845760114
-
Automated subcellular location determination and high-throughput microscopy
-
E. Glory and R. F. Murphy, “Automated subcellular location determination and high-throughput microscopy,” Develop. Cell, vol. 12, pp. 7–16, 2007.
-
(2007)
Develop. Cell
, vol.12
, pp. 7-16
-
-
Glory, E.1
Murphy, R.F.2
-
130
-
-
33646193311
-
SOM-based wavelet filtering for the exploration of medical images
-
B. Lessmann, A. Degenhard, P. Kessar, L. Pointon, M. Khazen, M. Leach, and T. Nattkemper, “SOM-based wavelet filtering for the exploration of medical images,” in Artificial Neural Networks: Biological Inspirations - ICANN 2005, 2005, pp. 671–676.
-
(2005)
Artificial Neural Networks: Biological Inspirations - ICANN 2005
, pp. 671-676
-
-
Lessmann, B.1
Degenhard, A.2
Kessar, P.3
Pointon, L.4
Khazen, M.5
Leach, M.6
Nattkemper, T.7
-
131
-
-
16344380424
-
Histological heterogeneity of human glioblastomas investigated with an unsupervised neural network (SOM)
-
Apr.
-
J. R. Iglesias-Rozas and N. Hopf, “Histological heterogeneity of human glioblastomas investigated with an unsupervised neural network (SOM),” Histol. Histopathol., vol. 20, pp. 351–6, Apr. 2005.
-
(2005)
Histol. Histopathol.
, vol.20
, pp. 351-356
-
-
Iglesias-Rozas, J.R.1
Hopf, N.2
-
132
-
-
75949126868
-
Using manifold learning for content-based image retrieval of prostate histopathology
-
S. Doyle, M. Hwang, S. Naik, M. Feldman, J. Tomaszeweski, and A. Madabhushi, “Using manifold learning for content-based image retrieval of prostate histopathology,” in MICCAI, 2007.
-
(2007)
MICCAI
-
-
Doyle, S.1
Hwang, M.2
Naik, S.3
Feldman, M.4
Tomaszeweski, J.5
Madabhushi, A.6
-
133
-
-
68149149744
-
Manifold learning with graph-based features for identifying extent of lymphocytic infiltration from high grade breast cancer histology
-
presented at the
-
A. Basavanhally, S. Agner, G. Alexe, G. Bhanot, S. Ganesan, and A. Madabhushi, “Manifold learning with graph-based features for identifying extent of lymphocytic infiltration from high grade breast cancer histology,” presented at the MMBIA Workshop, 2008.
-
(2008)
MMBIA Workshop
-
-
Basavanhally, A.1
Agner, S.2
Alexe, G.3
Bhanot, G.4
Ganesan, S.5
Madabhushi, A.6
-
134
-
-
68149132981
-
Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging
-
Aug.
-
G. Lexe, J. Monaco, S. Doyle, A. Basavanhally, A. Reddy, M. Seiler, S. Ganesan, G. Bhanot, and A. Madabhushi, “Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging,” Exp. Biol. Med., vol. 234, pp. 860–879, Aug. 2009.
-
(2009)
Exp. Biol. Med.
, vol.234
, pp. 860-879
-
-
Lexe, G.1
Monaco, J.2
Doyle, S.3
Basavanhally, A.4
Reddy, A.5
Seiler, M.6
Ganesan, S.7
Bhanot, G.8
Madabhushi, A.9
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