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A Pathology-Interpretable Deep Learning Model for Predicting Microsatellite Instability State in Colorectal Cancer: Validation across Diverse Platforms and Asian Cohorts

2024-02-01

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<title>Abstract</title> <p><bold>Background</bold> The determination of microsatellite (MS) state plays a vital role in precise diagnosis and treatment of colorectal cancer (CRC). However, the limited availability of medical resources and challenging economic circumstances render MS state testing unattainable for a significant proportion of CRC patients. We propose a novel pathology-interpretable deep learning mo...

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Literature Corpus work
9eb874a1-4e44-5781-8aab-b4de381f456b
DOI
10.21203/rs.3.rs-3874988/v1
Open publication

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A Pathology-Interpretable Deep Learning Model for Predicting Microsatellite Instability State in Colorectal Cancer: Validation across Diverse Platforms and Asian CohortsDOI 10.21203/rs.3.rs-3874988/v1
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