-
1
-
-
84875905305
-
Digital imaging in pathology: Whole-slide imaging and beyond
-
COI: 1:CAS:528:DC%2BC3sXltVKqs70%3D, PMID: 23157334
-
Ghaznavi, F., Evans, A., Madabhushi, A. & Feldman, M. Digital imaging in pathology: Whole-slide imaging and beyond. Annual Review of Pathology: Mechanisms of Disease 8, 331–359 (2013)
-
(2013)
Annual Review of Pathology: Mechanisms of Disease
, vol.8
, pp. 331-359
-
-
Ghaznavi, F.1
Evans, A.2
Madabhushi, A.3
Feldman, M.4
-
2
-
-
84978977016
-
Emerging themes in image informatics and molecular analysis for digital pathology
-
COI: 1:CAS:528:DC%2BC28XhtFyhsrnO
-
Bhargava, R. & Madabhushi, A. Emerging themes in image informatics and molecular analysis for digital pathology. Annual review of biomedical engineering 18, 387–412 (2016)
-
(2016)
Annual review of biomedical engineering
, vol.18
, pp. 387-412
-
-
Bhargava, R.1
Madabhushi, A.2
-
3
-
-
79957990380
-
Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data
-
Madabhushi, A., Agner, S., Basavanhally, A., Doyle, S. & Lee, G. Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Computerized medical imaging and graphics 35, 506–514 (2011)
-
(2011)
Computerized medical imaging and graphics
, vol.35
, pp. 506-514
-
-
Madabhushi, A.1
Agner, S.2
Basavanhally, A.3
Doyle, S.4
Lee, G.5
-
4
-
-
77954227318
-
Integrated diagnostics: a conceptual framework with examples
-
COI: 1:CAS:528:DC%2BC3cXhtFKlur3L
-
Madabhushi, A. et al. Integrated diagnostics: a conceptual framework with examples. Clinical chemistry and laboratory medicine 48, 989–998 (2010)
-
(2010)
Clinical chemistry and laboratory medicine
, vol.48
, pp. 989-998
-
-
Madabhushi, A.1
-
5
-
-
84937559607
-
Supervised multi-view canonical correlation analysis (sMVCCA): Integrating histologic and proteomic features for predicting recurrent prostate cancer
-
Lee, G. et al. Supervised multi-view canonical correlation analysis (sMVCCA): Integrating histologic and proteomic features for predicting recurrent prostate cancer. IEEE Transactions on Medical Imaging 34, 284–297 (2015)
-
(2015)
IEEE Transactions on Medical Imaging
, vol.34
, pp. 284-297
-
-
Lee, G.1
-
6
-
-
0028363957
-
Standardization of reagents and methods used in cytological and histological practice with emphasis on dyes, stains and chromogenic reagents
-
COI: 1:STN:280:DyaK2M%2FkvFKmtA%3D%3D
-
Lyon, H. O. et al. Standardization of reagents and methods used in cytological and histological practice with emphasis on dyes, stains and chromogenic reagents. The Histochemical Journal 26, 533–544 (1994)
-
(1994)
The Histochemical Journal
, vol.26
, pp. 533-544
-
-
Lyon, H.O.1
-
7
-
-
80054004347
-
A high-throughput active contour scheme for segmentation of histopathological imagery
-
Xu, J., Janowczyk, A., Chandran, S. & Madabhushi, A. A high-throughput active contour scheme for segmentation of histopathological imagery. Medical Image Analysis 15, 851–862 (2011)
-
(2011)
Medical Image Analysis
, vol.15
, pp. 851-862
-
-
Xu, J.1
Janowczyk, A.2
Chandran, S.3
Madabhushi, A.4
-
8
-
-
0026016742
-
Standardization of biological dyes and stains: pitfalls and possibilities
-
COI: 1:CAS:528:DyaK3MXhvVWntL4%3D
-
Schulte, E. Standardization of biological dyes and stains: pitfalls and possibilities. Histochemistry and Cell Biology 95, 319–328 (1991)
-
(1991)
Histochemistry and Cell Biology
, vol.95
, pp. 319-328
-
-
Schulte, E.1
-
9
-
-
84978410533
-
Stain normalization using sparse autoencoders (stanosa): Application to digital pathology
-
Janowczyk, A., Basavanhally, A. & Madabhushi, A. Stain normalization using sparse autoencoders (stanosa): Application to digital pathology. Computerized Medical Imaging and Graphics 57, 50–61 (2017)
-
(2017)
Computerized Medical Imaging and Graphics
, vol.57
, pp. 50-61
-
-
Janowczyk, A.1
Basavanhally, A.2
Madabhushi, A.3
-
10
-
-
84901269374
-
A nonlinear mapping approach to stain normalization in digital histopathology images using image-specific color deconvolution
-
Khan, A. M., Rajpoot, N., Treanor, D. & Magee, D. A nonlinear mapping approach to stain normalization in digital histopathology images using image-specific color deconvolution. Biomedical Engineering, IEEE Transactions on 61, 1729–1738 (2014)
-
(2014)
Biomedical Engineering, IEEE Transactions on
, vol.61
, pp. 1729-1738
-
-
Khan, A.M.1
Rajpoot, N.2
Treanor, D.3
Magee, D.4
-
12
-
-
34248647608
-
Stability of feature selection algorithms: a study on high-dimensional spaces
-
Kalousis, A., Prados, J. & Hilario, M. Stability of feature selection algorithms: a study on high-dimensional spaces. Knowledge and information systems 12, 95–116 (2007)
-
(2007)
Knowledge and information systems
, vol.12
, pp. 95-116
-
-
Kalousis, A.1
Prados, J.2
Hilario, M.3
-
13
-
-
77949507309
-
Robust biomarker identification for cancer diagnosis with ensemble feature selection methods
-
Abeel, T., Helleputte, T., Van de Peer, Y., Dupont, P. & Saeys, Y. Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. Bioinformatics 26, 392–398 (2009)
-
(2009)
Bioinformatics
, vol.26
, pp. 392-398
-
-
Abeel, T.1
Helleputte, T.2
Van de Peer, Y.3
Dupont, P.4
Saeys, Y.5
-
14
-
-
84939498419
-
Machine learning methods for quantitative radiomic biomarkers
-
COI: 1:CAS:528:DC%2BC2MXhsVKhsLbN
-
Parmar, C., Grossmann, P., Bussink, J., Lambin, P. & Aerts, H. J. Machine learning methods for quantitative radiomic biomarkers. Scientific reports 5, 13087 (2015)
-
(2015)
Scientific reports
, vol.5
-
-
Parmar, C.1
Grossmann, P.2
Bussink, J.3
Lambin, P.4
Aerts, H.J.5
-
15
-
-
77958449045
-
Stable feature selection for biomarker discovery
-
COI: 1:CAS:528:DC%2BC3cXhtlens7zN
-
He, Z. & Yu, W. Stable feature selection for biomarker discovery. Computational biology and chemistry 34, 215–225 (2010)
-
(2010)
Computational biology and chemistry
, vol.34
, pp. 215-225
-
-
He, Z.1
Yu, W.2
-
16
-
-
85021705157
-
Influence of study design on digital pathology image quality evaluation: the need to define a clinical task
-
Platiša, L., Van Brantegem, L., Kumcu, A., Ducatelle, R. & Philips, W. Influence of study design on digital pathology image quality evaluation: the need to define a clinical task. Journal of Medical Imaging 4, 021108–021108 (2017)
-
(2017)
Journal of Medical Imaging
, vol.4
, pp. 021108
-
-
Platiša, L.1
Van Brantegem, L.2
Kumcu, A.3
Ducatelle, R.4
Philips, W.5
-
17
-
-
85009291676
-
A quantitative approach to evaluate image quality of whole slide imaging scanners
-
Shrestha, P. et al. A quantitative approach to evaluate image quality of whole slide imaging scanners. Journal of pathology informatics 7 (2016)
-
(2016)
Journal of Pathology Informatics
, vol.7
, Issue.1
, pp. 56
-
-
Shrestha, P.1
Kneepkens, R.2
Vrijnsen, J.3
Vossen, D.4
Abels, E.5
Hulsken, B.6
-
18
-
-
85009289637
-
Color accuracy and reproducibility in whole slide imaging scanners
-
Shrestha, P. & Hulsken, B. Color accuracy and reproducibility in whole slide imaging scanners. Journal of Medical Imaging 1, 027501–027501 (2014)
-
(2014)
Journal of Medical Imaging
, vol.1
, pp. 027501
-
-
Shrestha, P.1
Hulsken, B.2
-
19
-
-
84994473894
-
Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images
-
Leo, P. et al. Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images. Journal of Medical Imaging 3, 047502 (2016)
-
(2016)
Journal of Medical Imaging
, vol.3
, pp. 047502
-
-
Leo, P.1
-
20
-
-
84902138072
-
Co-occurring gland angularity in localized subgraphs: predicting biochemical recurrence in intermediate-risk prostate cancer patients
-
Lee, G. et al. Co-occurring gland angularity in localized subgraphs: predicting biochemical recurrence in intermediate-risk prostate cancer patients. PloS one 9, e97954 (2014)
-
(2014)
PloS one
, vol.9
-
-
Lee, G.1
-
21
-
-
84872534252
-
Structure and Context in Prostatic Gland Segmentation and Classification
-
Springer Berlin Heidelberg, Berlin, Heidelberg
-
Nguyen, K., Sarkar, A. & Jain, A. K. Structure and context in prostatic gland segmentation and classification. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012, 115–123 (Springer Berlin Heidelberg, 2012)
-
(2012)
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012
, pp. 115-123
-
-
Nguyen, K.1
Sarkar, A.2
Jain, A.K.3
-
22
-
-
84896258183
-
Gland segmentation and computerized gleason grading of prostate histology by integrating low-, high-level and domain specific information
-
Naik, S., Doyle, S., Feldman, M., Tomaszewski, J. & Madabhushi, A. Gland segmentation and computerized gleason grading of prostate histology by integrating low-, high-level and domain specific information. In MIAAB workshop, 1–8 (2007)
-
(2007)
MIAAB Workshop
, pp. 1-8
-
-
Naik, S.1
Doyle, S.2
Feldman, M.3
Tomaszewski, J.4
Madabhushi, A.5
-
23
-
-
68149132981
-
Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging
-
COI: 1:CAS:528:DC%2BD1MXpt1WksLo%3D
-
Alexe, G. et al. Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging. Experimental Biology and Medicine 234, 860–879 (2009)
-
(2009)
Experimental Biology and Medicine
, vol.234
, pp. 860-879
-
-
Alexe, G.1
-
24
-
-
77649084558
-
Computerized image-based detection and grading of lymphocytic infiltration in her2+ breast cancer histopathology
-
Basavanhally, A. N. et al. Computerized image-based detection and grading of lymphocytic infiltration in her2+ breast cancer histopathology. IEEE Transactions on biomedical engineering 57, 642–653 (2010)
-
(2010)
IEEE Transactions on biomedical engineering
, vol.57
, pp. 642-653
-
-
Basavanhally, A.N.1
-
25
-
-
0015680481
-
Textural Features for Image Classification
-
Haralick, R. M., Shanmugam, K. & Dinstein, I. H. Textural features for image classification. Systems, Man and Cybernetics, IEEE Transactions on 610–621 (1973)
-
(1973)
IEEE Transactions on Systems, Man, and Cybernetics
, vol.SMC-3
, Issue.6
, pp. 610-621
-
-
Haralick, R.M.1
Shanmugam, K.2
Dinstein, I.H.3
-
26
-
-
84867896468
-
Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer
-
Doyle, S., Feldman, M. D., Shih, N., Tomaszewski, J. E. & Madabhushi, A. Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer. BMC bioinformatics 13, 282 (2012)
-
(2012)
BMC bioinformatics
, vol.13
-
-
Doyle, S.1
Feldman, M.D.2
Shih, N.3
Tomaszewski, J.E.4
Madabhushi, A.5
-
27
-
-
84880902295
-
Multi-field-of-view framework for distinguishing tumor grade in er+ breast cancer from entire histopathology slides
-
Basavanhally, A. et al. Multi-field-of-view framework for distinguishing tumor grade in er+ breast cancer from entire histopathology slides. IEEE transactions on biomedical engineering 60, 2089–2099 (2013)
-
(2013)
IEEE transactions on biomedical engineering
, vol.60
, pp. 2089-2099
-
-
Basavanhally, A.1
-
28
-
-
84878583241
-
Cell cluster graph for prediction of biochemical recurrence in prostate cancer patients from tissue microarrays
-
86760H, International Society for Optics and Photonics
-
Ali, S., Veltri, R., Epstein, J. A., Christudass, C. & Madabhushi, A. Cell cluster graph for prediction of biochemical recurrence in prostate cancer patients from tissue microarrays. In Medical Imaging 2013: Digital Pathology, vol. 8676, 86760H (International Society for Optics and Photonics, 2013)
-
(2013)
Medical Imaging 2013: Digital Pathology
, vol.8676
-
-
Ali, S.1
Veltri, R.2
Epstein, J.A.3
Christudass, C.4
Madabhushi, A.5
-
29
-
-
0031381525
-
Wrappers for feature subset selection
-
Kohavi, R. & John, G. H. Wrappers for feature subset selection. Artificial intelligence 97, 273–324 (1997)
-
(1997)
Artificial intelligence
, vol.97
, pp. 273-324
-
-
Kohavi, R.1
John, G.H.2
-
30
-
-
8044240113
-
Critical values and probability levels for the wilcoxon rank sum test and the wilcoxon signed rank test
-
Wilcoxon, F., Katti, S. & Wilcox, R. A. Critical values and probability levels for the wilcoxon rank sum test and the wilcoxon signed rank test. Selected tables in mathematical statistics 1, 171–259 (1970)
-
(1970)
Selected tables in mathematical statistics
, vol.1
, pp. 171-259
-
-
Wilcoxon, F.1
Katti, S.2
Wilcox, R.A.3
-
31
-
-
24344458137
-
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
-
Peng, H., Long, F. & Ding, C. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Transactions on Pattern Analysis and Machine Intelligence 27, 1226–1238 (2005)
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
32
-
-
85054580973
-
-
chap, 2 edn, Academic Press
-
Theodoridis, S. & Kourtroumbas, K. Pattern Recognition, chap. 5, 173–174, 2 edn. (Academic Press, 2003)
-
(2003)
Pattern Recognition
, vol.5
, pp. 173-174
-
-
Theodoridis, S.1
Kourtroumbas, K.2
-
33
-
-
4444356703
-
The use of morphological characteristics and texture analysis in the identification of tissue composition in prostatic neoplasia
-
Diamond, J., Anderson, N. H., Bartels, P. H., Montironi, R. & Hamilton, P. W. The use of morphological characteristics and texture analysis in the identification of tissue composition in prostatic neoplasia. Human pathology 35, 1121–1131 (2004)
-
(2004)
Human pathology
, vol.35
, pp. 1121-1131
-
-
Diamond, J.1
Anderson, N.H.2
Bartels, P.H.3
Montironi, R.4
Hamilton, P.W.5
-
34
-
-
34948819236
-
Multifeature prostate cancer diagnosis and gleason grading of histological images
-
Tabesh, A. et al. Multifeature prostate cancer diagnosis and gleason grading of histological images. IEEE transactions on medical imaging 26, 1366–1378 (2007)
-
(2007)
IEEE transactions on medical imaging
, vol.26
, pp. 1366-1378
-
-
Tabesh, A.1
-
35
-
-
84982218412
-
Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features
-
COI: 1:CAS:528:DC%2BC28Xhtlylsb7E
-
Yu, K.-H. et al. Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features. Nature communications 7 (2016)
-
(2016)
Nature Communications
, vol.7
, pp. 12474
-
-
Yu, K.-H.1
Zhang, C.2
Berry, G.J.3
Altman, R.B.4
Ré, C.5
Rubin, D.L.6
Snyder, M.7
-
36
-
-
84880143007
-
Explicit shape descriptors: Novel morphologic features for histopathology classification
-
Sparks, R. & Madabhushi, A. Explicit shape descriptors: Novel morphologic features for histopathology classification. Medical Image Analysis 17, 997–1009 (2013)
-
(2013)
Medical Image Analysis
, vol.17
, pp. 997-1009
-
-
Sparks, R.1
Madabhushi, A.2
-
37
-
-
84885381855
-
Statistical shape model for manifold regularization: Gleason grading of prostate histology
-
Sparks, R. & Madabhushi, A. Statistical shape model for manifold regularization: Gleason grading of prostate histology. Computer Vision and Image Understanding: CVIU 117, 1138–1146 (2013)
-
(2013)
Computer Vision and Image Understanding: CVIU
, vol.117
, pp. 1138-1146
-
-
Sparks, R.1
Madabhushi, A.2
-
38
-
-
85017036127
-
Automatic gleason grading of prostate cancer using quantitative phase imaging and machine learning
-
Nguyen, T. H. et al. Automatic gleason grading of prostate cancer using quantitative phase imaging and machine learning. Journal of Biomedical Optics 22, 036015 (2017)
-
(2017)
Journal of Biomedical Optics
, vol.22
, pp. 036015
-
-
Nguyen, T.H.1
-
39
-
-
33745219499
-
Trends in distribution and prognostic significance of gleason grades on radical retropubic prostatectomy specimens between 1989 and 2001
-
Sengupta, S. et al. Trends in distribution and prognostic significance of gleason grades on radical retropubic prostatectomy specimens between 1989 and 2001. Cancer 106, 2630–2635 (2006)
-
(2006)
Cancer
, vol.106
, pp. 2630-2635
-
-
Sengupta, S.1
-
40
-
-
50249109480
-
Interobserver reproducibility of gleason grading: evaluation using prostate cancer tissue microarrays
-
COI: 1:STN:280:DC%2BD1crivV2isg%3D%3D
-
Burchardt, M. et al. Interobserver reproducibility of gleason grading: evaluation using prostate cancer tissue microarrays. Journal of cancer research and clinical oncology 134, 1071–1078 (2008)
-
(2008)
Journal of cancer research and clinical oncology
, vol.134
, pp. 1071-1078
-
-
Burchardt, M.1
-
41
-
-
78650901035
-
International society of urological pathology (isup) consensus conference on handling and staging of radical prostatectomy specimens. Working Group 1: specimen handling
-
Samaratunga, H. et al. International society of urological pathology (isup) consensus conference on handling and staging of radical prostatectomy specimens. Working Group 1: specimen handling. Modern Pathology 24, 6 (2011)
-
(2011)
Modern Pathology
, vol.24
, pp. 6
-
-
Samaratunga, H.1
|