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A Multiple Kernel Learning Algorithm for Cell Nucleus Classification of Renal Cell Carcinoma., , , and . ICIAP (1), volume 6978 of Lecture Notes in Computer Science, page 413-422. Springer, (2011)Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology., , , , , and . Comput. Medical Imaging Graph., (2018)Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center., , , , , , , , , and 22 other author(s). J. Am. Medical Informatics Assoc., 28 (9): 1874-1884 (2021)Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma., , , , and . SIMBAD, volume 7005 of Lecture Notes in Computer Science, page 250-260. Springer, (2011)DeepScope: Nonintrusive Whole Slide Saliency Annotation and Prediction from Pathologists at the Microscope., , , , and . CIBB, volume 10477 of Lecture Notes in Computer Science, page 42-58. Springer, (2016)Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma., , , , and . SIMBAD, volume 7005 of Lecture Notes in Computer Science, page 77-89. Springer, (2011)Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels., , , , , , , and . PRIB, volume 7036 of Lecture Notes in Computer Science, page 75-86. Springer, (2011)Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations., , , , , and . MLHC, volume 56 of JMLR Workshop and Conference Proceedings, page 191-208. JMLR.org, (2016)Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019., , , , , , , , , and 23 other author(s). IEEE J. Biomed. Health Informatics, 25 (2): 429-440 (2021)Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019., , , , , , , , , and 23 other author(s). CoRR, (2020)