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Novel deep learning algorithm predicts the status of molecular pathways and key mutations in colorectal cancer from routine histology images

2021-01-20

Abstract excerpt

<h4>Summary</h4> <h4>Background</h4> Determining molecular pathways involved in the development of colorectal cancer (CRC) and knowing the status of key mutations are crucial for deciding optimal target therapy. The goal of this study is to explore machine learning to predict the status of the three main CRC molecular pathways – microsatellite instability (MSI), chromosomal instability (CIN), CpG island methylat...

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Literature Corpus work
cf68ee36-0529-5632-9a37-35ed5f9215d8
DOI
10.1101/2021.01.19.21250122
Open publication

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Novel deep learning algorithm predicts the status of molecular pathways and key mutations in colorectal cancer from routine histology imagesDOI 10.1101/2021.01.19.21250122
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