High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models. Read more about High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.
Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data Read more about Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data
Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying aggressive prostate cancer via Magnetic Resonance Imaging and Spectroscopy Read more about Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying aggressive prostate cancer via Magnetic Resonance Imaging and Spectroscopy
Prostate Cancer Imaging: Computer-Aided Diagnosis, Prognosis, and Intervention Prostate Cancer Imaging: Computer-Aided Diagnosis, Prognosis, and Intervention Read more about Prostate Cancer Imaging: Computer-Aided Diagnosis, Prognosis, and Intervention Prostate Cancer Imaging: Computer-Aided Diagnosis, Prognosis, and Intervention
Predicting classifier performance with a small training set: Applications to computer-aided diagnosis and prognosis Read more about Predicting classifier performance with a small training set: Applications to computer-aided diagnosis and prognosis
Pattern Recognition in Histopathological Images: An ICPR 2010 Contest Read more about Pattern Recognition in Histopathological Images: An ICPR 2010 Contest
Novel Morphometric Based Classification via Diffeomorphic Based Shape Representation using Manifold Learning Read more about Novel Morphometric Based Classification via Diffeomorphic Based Shape Representation using Manifold Learning
Multi-attribute Combined Mutual Information (MACMI): An Image Registration Framework for Leveraging Multiple Data Channels Read more about Multi-attribute Combined Mutual Information (MACMI): An Image Registration Framework for Leveraging Multiple Data Channels
Markov Random Field driven Region-Based, Active Contour Model (MaRACel): Application to Medical Image Segmentation Read more about Markov Random Field driven Region-Based, Active Contour Model (MaRACel): Application to Medical Image Segmentation
Linked statistical shape models for multi-modal segmentation: application to prostate CT-MR segmentation in radiotherapy planning Read more about Linked statistical shape models for multi-modal segmentation: application to prostate CT-MR segmentation in radiotherapy planning
