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A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images.

, , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 6 (3): 270-276 (2018)

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A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology., , , and . MICCAI (2), volume 4191 of Lecture Notes in Computer Science, page 504-511. Springer, (2006)Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy., , and . MICCAI (2), volume 5242 of Lecture Notes in Computer Science, page 330-338. Springer, (2008)Aggregated Distance Metric Learning (ADM) for Image Classification in Presence of Limited Training Data., and . MICCAI (3), volume 6893 of Lecture Notes in Computer Science, page 33-40. Springer, (2011)Adaptive Energy Selective Active Contour with Shape Priors for Nuclear Segmentation and Gleason Grading of Prostate Cancer., , , , and . MICCAI (1), volume 6891 of Lecture Notes in Computer Science, page 661-669. Springer, (2011)A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies., , , and . IEEE Trans. Biomed. Eng., 59 (5): 1205-1218 (2012)Mouse lung volume reconstruction from efficient groupwise registration of individual histological slices with natural gradient., , , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 866914. SPIE, (2013)Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7260 of SPIE Proceedings, page 72603I. SPIE, (2009)Generalized scale: theory, algorithms, and application to image inhomogeneity correction., , and . Medical Imaging: Image Processing, volume 5370 of SPIE Proceedings, SPIE, (2004)Generalized scale-based image filtering., , and . Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)Combining Low, High-Level and Empirical Domain Specific Knowledge for Automated Segmentation of Ultrasonic Breast Lesions., and . IEEE Trans. Med. Imaging, 22 (2): 155-169 (2003)