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The future of artificial intelligence in digital pathology - results of a survey across stakeholder groups

, , , , and . Histopathology, 80 (7): 1121--1127 (June 2022)

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Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology, , , , , , , , , and 9 other author(s). J. Pathol., 256 (1): 50--60 (January 2022)The future of artificial intelligence in digital pathology - results of a survey across stakeholder groups, , , , and . Histopathology, 80 (7): 1121--1127 (June 2022)Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer, , , , , , , , , and 7 other author(s). J. Pathol., 256 (3): 269--281 (March 2022)Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer, , , , , , , , , and 7 other author(s). The Journal of Pathology, 256 (3): 269–281 (December 2021)Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology, , , , , , , , , and 13 other author(s). Med. Image Anal., 79 (102474): 102474 (July 2022)Predicting mutational status of driver and suppressor genes directly from histopathology with Deep Learning: A systematic study across 23 solid tumor types, , , , , , , , , and 1 other author(s). Front. Genet., (2021)