Deep learning for the prediction of the chemotherapy response of metastatic colorectal cancer: comparing and combining H&E staining histopathology and infrared spectral histopathology

Author:

Brunel Benjamin12ORCID,Prada Pierre1,Slimano Florian1ORCID,Boulagnon-Rombi Camille3ORCID,Bouché Olivier14,Piot Olivier1ORCID

Affiliation:

1. Université de Reims Champagne-Ardenne, EA7506-BioSpectroscopie Translationnelle (BioSpecT), Reims, France

2. Université de Franche-Comté, CNRS, institut FEMTO-ST, F-25000 Besançon, France

3. Laboratoire d'anatomie et cytologie pathologique, CHU Reims, 51100 Reims, France

4. Service d'Oncologie Digestive, CHU Reims, 51100 Reims, France

Abstract

Prediction of the efficacy of a treatment against metastatic colon cancer, based on deep learning analysis of histological cuts of the primary tumor, either H&E stained or imaged with FTIR spectroscopy.

Funder

Agence Régionale de Santé de Champagne-Ardenne

Fondation ARC pour la Recherche sur le Cancer

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

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