Article
Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning models
1 Sept 2021
Abstract excerpt
The determination of endometrial carcinoma histological subtypes, molecular subtypes, and mutation status is critical for the diagnostic process, and directly affects patients' prognosis and treatment. Sequencing, albeit slower and more expensive, can provide additional information on molecular subtypes and mutations that can be used to better select treatments. Here, we implement a customized multi-resolution...
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