8 papers:
ICPR-2014-GaoATHRE #hybrid #image #multi #segmentation- Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images (QG, AA, TT, YH, DR, PJE), pp. 3298–3303.
- ICPR-2014-McCarthyCO #classification #image
- The Contribution of Morphological Features in the Classification of Prostate Carcinoma in Digital Pathology Images (NM, PC, GO), pp. 3269–3273.
- ICPR-2012-GhoseMOMLFVCSM #functional #probability #segmentation
- A Mumford-Shah functional based variational model with contour, shape, and probability prior information for prostate segmentation (SG, JM, AO, RM, XL, JF, JCV, JC, DS, FM), pp. 121–124.
- ICPR-2012-GhoseMOMLFVCSM12a #3d #energy #framework #graph #learning #probability #segmentation
- Graph cut energy minimization in a probabilistic learning framework for 3D prostate segmentation in MRI (SG, JM, AO, RM, XL, JF, JCV, JC, DS, FM), pp. 125–128.
- ICPR-2012-MitraKGSMLOVM #clustering #multimodal #performance
- Spectral clustering to model deformations for fast multimodal prostate registration (JM, ZK, SG, DS, RM, XL, AO, JCV, FM), pp. 2622–2625.
- ICPR-2010-NguyenJA #automation #classification #image #segmentation
- Automated Gland Segmentation and Classification for Gleason Grading of Prostate Tissue Images (KN, AKJ, RLA), pp. 1497–1500.
- ICPR-v2-2004-TahirBKA #classification #feature model #using
- Feature Selection using Tabu Search for Improving the Classification Rate of Prostate Needle Biopsies (MAT, AB, FK, AA), pp. 335–338.
KDD-2004-YanVS #predict- Predicting prostate cancer recurrence via maximizing the concordance index (LY, DV, OS), pp. 479–485.
