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Probabilistic pairwise Markov models: application to prostate cancer detection.

, , , , , , , , and . Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 725903. SPIE, (2009)

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HistoCAD: Machine Facilitated Quantitative Histoimaging with Computer Assisted Diagnosis.. Prostate Cancer Imaging, volume 6367 of Lecture Notes in Computer Science, page 63-65. Springer, (2010)A boosted distance metric: application to content based image retrieval and classification of digitized histopathology., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7260 of SPIE Proceedings, page 72603F. SPIE, (2009)Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis., , , , , , , , , and . CoRR, (2018)Examining structural patterns and causality in diabetic nephropathy using inter-glomerular distance and Bayesian graphical models., , , , and . Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 1095608. SPIE, (2019)High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies., , , , , and . Prostate Cancer Imaging, volume 6367 of Lecture Notes in Computer Science, page 77-88. Springer, (2010)Probabilistic pairwise Markov models: application to prostate cancer detection., , , , , , , , and . Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 725903. SPIE, (2009)Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures., , , , , and . EMBC, page 6434-6437. IEEE, (2011)