Article

Assessing Genotype-Phenotype Correlations with Deep Learning in Colorectal Cancer: A Multi-Centric Study

2025-02-08

Abstract excerpt

<h4>Background</h4> Deep Learning (DL) has emerged as a powerful tool to predict genetic biomarkers directly from digitized Hematoxylin and Eosin (H&E) slides in colorectal cancer (CRC). However, few studies have systematically investigated the predictability of biomarkers beyond routinely available alterations such as microsatellite instability (MSI), and BRAF and KRAS mutations. <h4>Methods</h4> Our primary...

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Literature Corpus work: fd1f6702-1219-5b0a-b930-8208fe85c7da
DOI: 10.1101/2025.02.04.25321660

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