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A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney.

, , , , and . GCPR, volume 10496 of Lecture Notes in Computer Science, page 3-13. Springer, (2017)

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Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability., , , , and . ICISP, volume 10884 of Lecture Notes in Computer Science, page 461-469. Springer, (2018)CNN cascades for segmenting sparse objects in gigapixel whole slide images., , , , and . Comput. Medical Imaging Graph., (2019)Segmenting renal whole slide images virtually without training data., , , , , and . Comput. Biol. Medicine, (2017)Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology., , , , , , , , , and 13 other author(s). Medical Image Anal., (2022)A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney., , , , and . GCPR, volume 10496 of Lecture Notes in Computer Science, page 3-13. Springer, (2017)Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow., , , , , , , and . COMPAY/OMIA@MICCAI, volume 11039 of Lecture Notes in Computer Science, page 78-85. Springer, (2018)Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study., , and . ECDP, volume 11435 of Lecture Notes in Computer Science, page 38-46. Springer, (2019)CNN Cascades for Segmenting Whole Slide Images of the Kidney., , , , and . CoRR, (2017)Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations., , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 175-184. PMLR, (2019)Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474., , , , , , , , , and 13 other author(s). Medical Image Anal., (2022)