Article

Dense, high-resolution mapping of cells and tissues from pathology images for the interpretable prediction of molecular phenotypes in cancer

2020-08-04

Abstract excerpt

While computational methods have made substantial progress in improving the accuracy and throughput of pathology workflows for diagnostic, prognostic, and genomic prediction, lack of interpretability remains a significant barrier to clinical integration. In this study, we present a novel approach for predicting clinically-relevant molecular phenotypes from histopathology whole-slide images (WSIs) using human-inter...

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Literature Corpus work: 63b6d7b1-6d2e-51f9-afc7-2fcd445a63c9
DOI: 10.1101/2020.08.02.233197

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