Article

Predicting Endometrial Cancer Subtypes and Molecular Features from Histopathology Images Using Multi-resolution Deep Learning Models

2020-02-26

Abstract excerpt

<h4>Summary</h4> The determination of endometrial carcinoma histological subtypes, molecular subtypes, and mutation status is a critical diagnostic process that directly affects patients’ prognosis and treatment options. Compared to the histopathological approach, however, the availability of molecular subtyping is limited as it can only be accurately obtained by genomic sequencing, which may be cost prohibitive....

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Literature Corpus work: 90ef148b-c6cf-5864-9a62-89a5b89f1e34
DOI: 10.1101/2020.02.25.965038

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