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

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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Bibliographic Details
Main Authors: Aurelia Bustos, Artemio Payá, Andrés Torrubia, Rodrigo Jover, Xavier Llor, Xavier Bessa, Antoni Castells, Ángel Carracedo, Cristina Alenda
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Biomolecules
Subjects:
digital pathology
deep neural networks
bias ablation
adversarial networks
colorectal carcinoma
microsatellite instability
Online Access:https://www.mdpi.com/2218-273X/11/12/1786

Internet

https://www.mdpi.com/2218-273X/11/12/1786

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