xDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep Learning System in Colorectal Cancer

The prediction of microsatellite instability (MSI) using deep learning (DL) techniques could have significant benefits, including reducing cost and increasing MSI testing of colorectal cancer (CRC) patients. Nonetheless, batch effects or systematic biases are not well characterized in digital histol...

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Autori principali:	Aurelia Bustos, Artemio Payá, Andrés Torrubia, Rodrigo Jover, Xavier Llor, Xavier Bessa, Antoni Castells, Ángel Carracedo, Cristina Alenda
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2021-11-01
Serie:	Biomolecules
Soggetti:	digital pathology deep neural networks bias ablation adversarial networks colorectal carcinoma microsatellite instability
Accesso online:	https://www.mdpi.com/2218-273X/11/12/1786
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