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Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides.

, , , , , , and . IEEE Trans. Biomed. Engineering, 60 (8): 2089-2099 (2013)

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Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI., , , , , , , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90343P. SPIE, (2014)Local morphologic scale: application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs., , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 79622N. SPIE, (2011)Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology., , , , , , , and . BIBE, page 69-76. IEEE Computer Society, (2009)Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer., , , , and . MICCAI, volume 3749 of Lecture Notes in Computer Science, page 729-737. Springer, (2005)Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI., , , , , , , , , and . MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 442-449. Springer, (2017)Simulation of Breast Anatomy: Bridging the Radiology-Pathology Scale Gap., , , , and . Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 478-485. Springer, (2016)A Knowledge Representation Framework for Integration, Classification of Multi-Scale Imaging and Non-Imaging Data: Preliminary Results in Predicting Prostate Cancer Recurrence by Fusing Mass Spectrometry and Histology., , , , , , and . ISBI, page 77-80. IEEE, (2009)A Combined Feature Ensemble Based Mutual Information Scheme for Robust Inter-Modal, Inter-Protocol Image Registration., , , , and . ISBI, page 644-647. IEEE, (2007)Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer., , , , , , , and . ISBI, page 113-116. IEEE, (2013)Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI., , , , and . IEEE Trans. Med. Imaging, 24 (12): 1611-1625 (2005)