Article

A transferrable and interpretable multiple instance learning model for microsatellite instability prediction based on histopathology images

2020-03-03

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Microsatellite instability (MSI) is a negative prognostic factor for colorectal cancer (CRC) and can be used as a predictor of success for immunotherapy in pan-cancer. However, current MSI identification methods are not available for all patients. We propose an ensemble multiple instance learning (MIL)-based deep learning model to predict MSI status directly from histopathol...

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Literature Corpus work: d493e08d-9d96-5291-83ff-11c258fa4db7
DOI: 10.1101/2020.02.29.971150

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