Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study

Deep learning (DL) can predict microsatellite instability (MSI) from routine histopathology slides of colorectal cancer (CRC). However, it is unclear whether DL can also predict other biomarkers with high performance and whether DL predictions generalize to external patient populations. Here, we acq...

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Detalles Bibliográficos
Autores principales: Niehues, Jan Moritz, Quirke, Philip, West, Nicholas P., Grabsch, Heike I., van Treeck, Marko, Schirris, Yoni, Veldhuizen, Gregory P., Hutchins, Gordon G.A., Richman, Susan D., Foersch, Sebastian, Brinker, Titus J., Fukuoka, Junya, Bychkov, Andrey, Uegami, Wataru, Truhn, Daniel, Brenner, Hermann, Brobeil, Alexander, Hoffmeister, Michael, Kather, Jakob Nikolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140458/
https://www.ncbi.nlm.nih.gov/pubmed/36958327
http://dx.doi.org/10.1016/j.xcrm.2023.100980

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140458/
https://www.ncbi.nlm.nih.gov/pubmed/36958327
http://dx.doi.org/10.1016/j.xcrm.2023.100980

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