237 related articles for article (PubMed ID: 17354810)
1. A boosting cascade for automated detection of prostate cancer from digitized histology.
Doyle S; Madabhushi A; Feldman M; Tomaszeweski J
Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):504-11. PubMed ID: 17354810
[TBL] [Abstract][Full Text] [Related]
2. Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.
Madabhushi A; Feldman MD; Metaxas DN; Tomaszeweski J; Chute D
IEEE Trans Med Imaging; 2005 Dec; 24(12):1611-25. PubMed ID: 16350920
[TBL] [Abstract][Full Text] [Related]
3. Detecting prostatic adenocarcinoma from digitized histology using a multi-scale hierarchical classification approach.
Doyle S; Rodriguez C; Madabhushi A; Tomaszeweski J; Feldman M
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():4759-62. PubMed ID: 17947116
[TBL] [Abstract][Full Text] [Related]
4. Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles.
Barker J; Hoogi A; Depeursinge A; Rubin DL
Med Image Anal; 2016 May; 30():60-71. PubMed ID: 26854941
[TBL] [Abstract][Full Text] [Related]
5. Machine learning approaches to analyze histological images of tissues from radical prostatectomies.
Gertych A; Ing N; Ma Z; Fuchs TJ; Salman S; Mohanty S; Bhele S; Velásquez-Vacca A; Amin MB; Knudsen BS
Comput Med Imaging Graph; 2015 Dec; 46 Pt 2(Pt 2):197-208. PubMed ID: 26362074
[TBL] [Abstract][Full Text] [Related]
6. A comprehensive segmentation, registration, and cancer detection scheme on 3 Tesla in vivo prostate DCE-MRI.
Viswanath S; Bloch BN; Genega E; Rofsky N; Lenkinski R; Chappelow J; Toth R; Madabhushi A
Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):662-9. PubMed ID: 18979803
[TBL] [Abstract][Full Text] [Related]
7. A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies.
Doyle S; Feldman M; Tomaszewski J; Madabhushi A
IEEE Trans Biomed Eng; 2012 May; 59(5):1205-18. PubMed ID: 20570758
[TBL] [Abstract][Full Text] [Related]
8. High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.
Monaco JP; Tomaszewski JE; Feldman MD; Hagemann I; Moradi M; Mousavi P; Boag A; Davidson C; Abolmaesumi P; Madabhushi A
Med Image Anal; 2010 Aug; 14(4):617-29. PubMed ID: 20493759
[TBL] [Abstract][Full Text] [Related]
9. Separation of benign and malignant glands in prostatic adenocarcinoma.
Rashid S; Fazli L; Boag A; Siemens R; Abolmaesumi P; Salcudean SE
Med Image Comput Comput Assist Interv; 2013; 16(Pt 3):461-8. PubMed ID: 24505794
[TBL] [Abstract][Full Text] [Related]
10. A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic resonance imaging.
Giannini V; Mazzetti S; Vignati A; Russo F; Bollito E; Porpiglia F; Stasi M; Regge D
Comput Med Imaging Graph; 2015 Dec; 46 Pt 2():219-26. PubMed ID: 26391055
[TBL] [Abstract][Full Text] [Related]
11. Registering histological and MR images of prostate for image-based cancer detection.
Zhan Y; Feldman M; Tomaszeweski J; Davatzikos C; Shen D
Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):620-8. PubMed ID: 17354824
[TBL] [Abstract][Full Text] [Related]
12. Graph run-length matrices for histopathological image segmentation.
Tosun AB; Gunduz-Demir C
IEEE Trans Med Imaging; 2011 Mar; 30(3):721-32. PubMed ID: 21097378
[TBL] [Abstract][Full Text] [Related]
13. Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.
Ali S; Veltri R; Epstein JI; Christudass C; Madabhushi A
Comput Med Imaging Graph; 2015 Apr; 41():3-13. PubMed ID: 25466771
[TBL] [Abstract][Full Text] [Related]
14. Registering histologic and MR images of prostate for image-based cancer detection.
Zhan Y; Ou Y; Feldman M; Tomaszeweski J; Davatzikos C; Shen D
Acad Radiol; 2007 Nov; 14(11):1367-81. PubMed ID: 17964460
[TBL] [Abstract][Full Text] [Related]
15. A pattern recognition approach to zonal segmentation of the prostate on MRI.
Litjens G; Debats O; van de Ven W; Karssemeijer N; Huisman H
Med Image Comput Comput Assist Interv; 2012; 15(Pt 2):413-20. PubMed ID: 23286075
[TBL] [Abstract][Full Text] [Related]
16. Targeted prostate biopsy using statistical image analysis.
Zhan Y; Shen D; Zeng J; Sun L; Fichtinger G; Moul J; Davatzikos C
IEEE Trans Med Imaging; 2007 Jun; 26(6):779-88. PubMed ID: 17679329
[TBL] [Abstract][Full Text] [Related]
17. A method to test the reproducibility and to improve performance of computer-aided detection schemes for digitized mammograms.
Zheng B; Gur D; Good WF; Hardesty LA
Med Phys; 2004 Nov; 31(11):2964-72. PubMed ID: 15587648
[TBL] [Abstract][Full Text] [Related]
18. Variable importance in nonlinear kernels (VINK): classification of digitized histopathology.
Ginsburg S; Ali S; Lee G; Basavanhally A; Madabhushi A
Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):238-45. PubMed ID: 24579146
[TBL] [Abstract][Full Text] [Related]
19. Multilevel segmentation of histopathological images using cooccurrence of tissue objects.
Simsek AC; Tosun AB; Aykanat C; Sokmensuer C; Gunduz-Demir C
IEEE Trans Biomed Eng; 2012 Jun; 59(6):1681-90. PubMed ID: 22481801
[TBL] [Abstract][Full Text] [Related]
20. Context-constrained multiple instance learning for histopathology image segmentation.
Xu Y; Zhang J; Chang EI; Lai M; Tu Z
Med Image Comput Comput Assist Interv; 2012; 15(Pt 3):623-30. PubMed ID: 23286183
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]