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Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study.

, , , , , , , and . BMC Medical Imaging, 19 (1): 22:1-22:12 (2019)

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Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification., , , , , , , , , and . J. Digital Imaging, 24 (3): 446-463 (2011)Comparison of breast ductal branching pattern classification using x-ray galactograms and MR autogalactograms., , and . Medical Imaging: Image Processing, volume 6144 of SPIE Proceedings, page 614425. SPIE, (2006)Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 6915 of SPIE Proceedings, page 69152C. SPIE, (2008)A Multichannel Markov Random Field Framework for Tumor Segmentation With an Application to Classification of Gene Expression-Based Breast Cancer Recurrence Risk., , , , , and . IEEE Trans. Medical Imaging, 32 (4): 637-648 (2013)Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study., , , , , , , and . BMC Medical Imaging, 19 (1): 22:1-22:12 (2019)Comparison of Methods for Classification of Breast Ductal Branching Patterns., , , , and . Digital Mammography / IWDM, volume 4046 of Lecture Notes in Computer Science, page 634-641. Springer, (2006)