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Artificial intelligence-based detection of FGFR3 mutational status directly from routine histology in bladder cancer: A possible preselection for molecular testing?

, , , , , , , , , , and . Eur. Urol. Focus, 8 (2): 472--479 (March 2022)

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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)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)Classical mathematical models for prediction of response to chemotherapy and immunotherapy, , , , , , , , , and . PLoS Comput. Biol., 18 (2): e1009822 (February 2022)Swarm learning for decentralized artificial intelligence in cancer histopathology, , , , , , , , , and 17 other author(s). Nat. Med., 28 (6): 1232--1239 (June 2022)Artificial intelligence-based detection of FGFR3 mutational status directly from routine histology in bladder cancer: A possible preselection for molecular testing?, , , , , , , , , and 1 other author(s). Eur. Urol. Focus, 8 (2): 472--479 (March 2022)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)Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopy, , , , , , , , , and 1 other author(s). Sci. Rep., 12 (1): 4829 (March 2022)