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Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings.

, , , , , , , , , , и . Bioinform., 38 (2): 513-519 (2022)

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Vectorized persistent homology representations for characterizing glandular architecture in histology images., , , , , , , и . ISBI, стр. 232-235. IEEE, (2018)Structured crowdsourcing enables convolutional segmentation of histology images., , , , , , , , , и 21 other автор(ы). Bioinform., 35 (18): 3461-3467 (2019)NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation., , , , , , , , , и 27 other автор(ы). CoRR, (2021)Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings., , , , , , , , , и 1 other автор(ы). Bioinform., 38 (2): 513-519 (2022)User friendly, cloud based, whole slide image segmentation., , , и . Medical Imaging: Digital Pathology, том 11603 из SPIE Proceedings, SPIE, (2021)A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy., , , , , , , , , и 5 other автор(ы). Medical Imaging: Digital Pathology, том 11603 из SPIE Proceedings, SPIE, (2021)