BibSLEIGH
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Used together with:
segment (4)
imag (3)
classif (3)
model (2)
featur (2)

Stem prostat$ (all stems)

8 papers:

ICPRICPR-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.
ICPRICPR-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.
ICPRICPR-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.
ICPRICPR-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.
ICPRICPR-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.
ICPRICPR-2010-NguyenJA #automation #classification #image #segmentation
Automated Gland Segmentation and Classification for Gleason Grading of Prostate Tissue Images (KN, AKJ, RLA), pp. 1497–1500.
ICPRICPR-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.
KDDKDD-2004-YanVS #predict
Predicting prostate cancer recurrence via maximizing the concordance index (LY, DV, OS), pp. 479–485.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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