A Deep Learning solution for triaging patient with cancer from their predicted mutational status using histopathological images
Louis-Oscar Morel, Valentin Dérangère, Laurent Arnould, Sylvain Ladoire, Nathan Vinçon
This paper develops a deep learning pipeline to predict mutation status from histopathological images in cancer patients, identifying clinically relevant genes like TP53 and proposing screening strategies.
bioRxiv · Jan 30, 2022 · PreprintBioinformatics