Article
A Pathology-Interpretable Deep Learning Model for Predicting Microsatellite Instability State in Colorectal Cancer: Validation across Diverse Platforms and Asian Cohorts
2024-02-01
Abstract excerpt
<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...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 9eb874a1-4e44-5781-8aab-b4de381f456b
- DOI
- 10.21203/rs.3.rs-3874988/v1
