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Feasibility of deep learning‐based fully automated classification of microsatellite instability in tissue slides of colorectal cancer

14 Apr 2021

Abstract excerpt

High levels of microsatellite instability (MSI-H) occurs in about 15% of sporadic colorectal cancer (CRC) and is an important predictive marker for response to immune checkpoint inhibitors. To test the feasibility of a deep learning (DL)-based classifier as a screening tool for MSI status, we built a fully automated DL-based MSI classifier using pathology whole-slide images (WSIs) of CRCs. On small image patches...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 33851412
DOI: 10.1002/ijc.33599

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