-
1
-
-
77954650208
-
Digital Pathology Image Analysis: Opportunities and Challenges
-
Editorial
-
A. Madabhushi, Digital Pathology Image Analysis: Opportunities and Challenges (Editorial), Imaging in Medicine, vol. 1(1), pp. 7-10, 2009.
-
(2009)
Imaging in Medicine
, vol.1
, Issue.1
, pp. 7-10
-
-
Madabhushi, A.1
-
2
-
-
36348964155
-
Automated Grading of Prostate Cancer using Architectural and Textural Image Features
-
S. Doyle, M. Hwang, K. Shah, A. Madabhushi, J. Tomasezweski and M. Feldman, "Automated Grading of Prostate Cancer using Architectural and Textural Image Features", ISBI, pp. 1284-87, 2007.
-
(2007)
ISBI
, pp. 1284-1287
-
-
Doyle, S.1
Hwang, M.2
Shah, K.3
Madabhushi, A.4
Tomasezweski, J.5
Feldman, M.6
-
3
-
-
34948819236
-
Multifeature prostate cancer diagnosis and gleason grading of histological images
-
Tabesh, A., Teverovskiy, M., Pang, H., Verbel, V. K. D., Kotsianti, A., Saidi, O., 2007. "Multifeature prostate cancer diagnosis and gleason grading of histological images." IEEE Trans on Med. Imaging 26 (10), 13661378.
-
(2007)
IEEE Trans on Med. Imaging
, vol.26
, Issue.10
, pp. 13661378
-
-
Tabesh, A.1
Teverovskiy, M.2
Pang, H.3
Verbel, V.K.D.4
Kotsianti, A.5
Saidi, O.6
-
4
-
-
24144493035
-
The 2005 international society of urological pathology (isup) consensus conference on gleason grading of prostatic carcinoma
-
Epstein, J., Allsbrook, W., Amin, M., Egevad, L., "The 2005 international society of urological pathology (isup) consensus conference on gleason grading of prostatic carcinoma," American J. of Surgical Pathology 29 (9), 12281242. 2005.
-
(2005)
American J. of Surgical Pathology
, vol.29
, Issue.9
, pp. 12281242
-
-
Epstein, J.1
Allsbrook, W.2
Amin, M.3
Egevad, L.4
-
5
-
-
27544469752
-
Augmented Cell-graphs for Automated Cancer Diagnosis
-
Demir, C and Gultekin, S.H . "Augmented Cell-graphs for Automated Cancer Diagnosis." Bioinformatics Vol. 21 Suppl. 2 2005 pp 7-12.
-
(2005)
Bioinformatics
, vol.21
, Issue.SUPPL. 2
, pp. 7-12
-
-
Demir, C.1
Gultekin, S.H.2
-
6
-
-
77953803946
-
Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology
-
Fatakdawala, H, Xu, J, Basavanhally, A, Bhanot, G, Ganesan, S, Feldman, M, Tomaszewski, J, Madabhushi, A, "Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology," IEEE TBME, vol.57(7), pp. 1676-1689, 2010.
-
(2010)
IEEE TBME
, vol.57
, Issue.7
, pp. 1676-1689
-
-
Fatakdawala, H.1
Xu, J.2
Basavanhally, A.3
Bhanot, G.4
Ganesan, S.5
Feldman, M.6
Tomaszewski, J.7
Madabhushi, A.8
-
7
-
-
0029908581
-
Clinical and cost impact of second-opinion pathology. Review of prostate biopsies prior to radical prostatectomy
-
Epstein, J., Walsh, P., Sanfilippo, F., "Clinical and cost impact of second-opinion pathology. review of prostate biopsies prior to radical prostatectomy." American Journal of Surgical Pathology 20 (7), 851857. 1996.
-
(1996)
American Journal of Surgical Pathology
, vol.20
, Issue.7
, pp. 851857
-
-
Epstein, J.1
Walsh, P.2
Sanfilippo, F.3
-
8
-
-
77956374808
-
Nuclear Roundness Variance Predicts Prostate Cancer Progression, Metastasis, and Death: A Prospective EvaluationWith up to 25 Years of Follow-Up After Radical Prostatectomy
-
R.W. Veltri, S. Isharwal, M. C. Mille, "Nuclear Roundness Variance Predicts Prostate Cancer Progression, Metastasis, and Death: A Prospective EvaluationWith up to 25 Years of Follow-Up After Radical Prostatectomy", The Prostate., vol. 70, 133m-1339, 2010.
-
(2010)
The Prostate
, vol.70
-
-
Veltri, R.W.1
Isharwal, S.2
Mille, M.C.3
-
9
-
-
84855947471
-
Computer aided diagnostic tools aim to empower rather than replace pathologists: Lessons learned from computational chess
-
Hipp, J., Flotte, T., Monaco, J., Cheng, J., Madabhushi, A., Yagi, Y., Rodriguez-Canales, J., Emmert-Buck, M., Dugan, M., Hewitt, S., Toner, M., Tompkins, R., Lucas, D., Gilbertson, J., Balis, U., 2011. "Computer aided diagnostic tools aim to empower rather than replace pathologists: Lessons learned from computational chess." Journal of Pathology Informatics 2 (1), 25.
-
(2011)
Journal of Pathology Informatics
, vol.2
, Issue.1
, pp. 25
-
-
Hipp, J.1
Flotte, T.2
Monaco, J.3
Cheng, J.4
Madabhushi, A.5
Yagi, Y.6
Rodriguez-Canales, J.7
Emmert-Buck, M.8
Dugan, M.9
Hewitt, S.10
Toner, M.11
Tompkins, R.12
Lucas, D.13
Gilbertson, J.14
Balis, U.15
-
10
-
-
77956941136
-
Histopathological Image Analysis: A Review
-
M. Gurcan, L. Boucheron, A. Can, A. Madabhushi, N. Rajpoot, B. Yener, Histopathological Image Analysis: A Review, IEEE Reviews in Biomedical Engineering, vol. 2, pp. 147-171, 2009.
-
(2009)
IEEE Reviews in Biomedical Engineering
, vol.2
, pp. 147-171
-
-
Gurcan, M.1
Boucheron, L.2
Can, A.3
Madabhushi, A.4
Rajpoot, N.5
Yener, B.6
-
12
-
-
67649515593
-
Automatic Classification for Pathological. Prostate Images Based on Fractal Analysis
-
P.-W. Huang, C.-H. Lee, "Automatic Classification for Pathological. Prostate Images Based on Fractal Analysis," Medical Imaging, IEEE Transactions on 28 (2009) 1037 1050.
-
(2009)
Medical Imaging, IEEE Transactions on
, vol.28
, pp. 1037-1050
-
-
Huang, P.-W.1
Lee, C.-H.2
-
13
-
-
4444356703
-
The use of morphological characteristics and texture analysis in the identification of tissue composition in prostatic neoplasia
-
Diamond, J., Anderson, N., Bartels, P., Montironi, R., Hamilton, P., 2004. The use of morphological characteristics and texture analysis in the identification of tissue composition in prostatic neoplasia. Human Pathology 35 (9), 11211131.
-
(2004)
Human Pathology
, vol.35
, Issue.9
, pp. 11211131
-
-
Diamond, J.1
Anderson, N.2
Bartels, P.3
Montironi, R.4
Hamilton, P.5
-
14
-
-
34250856799
-
An image analysis approach for automatic malignancy determination of prostate pathological images
-
Farjam, R., Soltanian-Zadeh, H., Jafari-Khouzani, K., Zoroofi, R., 2007. "An image analysis approach for automatic malignancy determination of prostate pathological images". Cytometry Part B (Clinical Cytometry) 72 (B), 227240.
-
(2007)
Cytometry Part B (Clinical Cytometry)
, vol.72
, Issue.B
, pp. 227240
-
-
Farjam, R.1
Soltanian-Zadeh, H.2
Jafari-Khouzani, K.3
Zoroofi, R.4
-
15
-
-
84861723573
-
Prognostic Factors for the Development of Biochemical Recurrence after Radical Prostatectomy
-
Article ID 485189, doi:10.1155/2011/485189
-
Ahmed F. Kotb and Ahmed A. Elabbady, Prognostic Factors for the Development of Biochemical Recurrence after Radical Prostatectomy, Prostate Cancer, vol.2011, Article ID 485189, 6 pages, 2011. doi:10.1155/2011/485189
-
(2011)
Prostate Cancer
, vol.2011
, pp. 6
-
-
Kotb, A.F.1
Elabbady, A.A.2
-
16
-
-
0033786392
-
Preoperative serum prostate specific antigen does not reflect biochemical failure rates after radical prostatectomy in men with large volume cancers
-
M. Noguchi, T. A. Stamey, J. E. McNeal, and C. M. Yemoto, "Preoperative serum prostate specific antigen does not reflect biochemical failure rates after radical prostatectomy in men with large volume cancers," Journal of Urology, vol. 164, no. 5, pp. 15961600, 2000.
-
(2000)
Journal of Urology
, vol.164
, Issue.5
, pp. 15961600
-
-
Noguchi, M.1
Stamey, T.A.2
McNeal, J.E.3
Yemoto, C.M.4
-
17
-
-
0033787042
-
Prognostic significance of Gleason score 3+4 versus Gleason score 4+3 tumor at radical prostatectomy
-
T. Y. Chan, A. W. Partin, P. C. Walsh, and J. I. Epstein, "Prognostic significance of Gleason score 3+4 versus Gleason score 4+3 tumor at radical prostatectomy, Urology, vol. 56, no. 5, pp. 823827, 2000.
-
(2000)
Urology
, vol.56
, Issue.5
, pp. 823827
-
-
Chan, T.Y.1
Partin, A.W.2
Walsh, P.C.3
Epstein, J.I.4
-
18
-
-
78650918264
-
Molecular proflling offers no more than tumor morphology and basic immunohistochemistry
-
Britta Weiglet and Jorge S Reis-Filho, "Molecular proflling offers no more than tumor morphology and basic immunohistochemistry", Breast Cancer Research, 12:24. 2010.
-
(2010)
Breast Cancer Research
, vol.12
, pp. 24
-
-
Weiglet, B.1
Reis-Filho, J.S.2
-
19
-
-
24344458137
-
Feature selection based on mutual information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy
-
DOI 10.1109/TPAMI.2005.159
-
Peng H, Long F, Ding C. "Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy". Pattern Analysis and Machine Intelligence, IEEE Transactions on 2005;27:1226-1238. (Pubitemid 41245053)
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.8
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
20
-
-
84878599302
-
Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions
-
Andrew Janowczyk, Sharat Chandran, Anant Madabhushi, "Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions", Journal of Pathology Informatics 2013
-
(2013)
Journal of Pathology Informatics
-
-
Janowczyk, A.1
Chandran, S.2
Madabhushi, A.3
|