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Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning
[article]
2022
arXiv
pre-print
Tumor mutational burden (TMB) is a potential genomic biomarker that can help identify patients who will benefit from immunotherapy across a variety of cancers. We included whole slide images (WSIs) of 3228 diagnostic slides from the Cancer Genome Atlas and 531 WSIs from the Clinical Proteomic Tumor Analysis Consortium for the development and verification of a pan-cancer TMB prediction model (PC-TMB). We proposed a multiscale weakly-supervised deep learning framework for predicting TMB of seven
arXiv:2204.03257v1
fatcat:m5eutw5ue5cxjkh2xat5rxs524