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Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer

3 Jun 2019

Abstract excerpt

Microsatellite instability determines whether patients with gastrointestinal cancer respond exceptionally well to immunotherapy. However, in clinical practice, not every patient is tested for MSI, because this requires additional genetic or immunohistochemical tests. Here we show that deep residual learning can predict MSI directly from H&E histology, which is ubiquitously available. This approach has the...

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PMID: 31160815
DOI: 10.1038/s41591-019-0462-y

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