Deep learning predicts patients outcome and mutations from digitized histology slides in gastrointestinal stromal tumor

Risk assessment of gastrointestinal stromal tumor (GIST) according to the AFIP/Miettinen classification and mutational profiling are major tools for patient management. However, the AFIP/Miettinen classification depends heavily on mitotic counts, which is laborious and sometimes inconsistent between...

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Detalles Bibliográficos
Autores principales: Fu, Yu, Karanian, Marie, Perret, Raul, Camara, Axel, Le Loarer, François, Jean-Denis, Myriam, Hostein, Isabelle, Michot, Audrey, Ducimetiere, Françoise, Giraud, Antoine, Courreges, Jean-Baptiste, Courtet, Kevin, Laizet, Yech’an, Bendjebbar, Etienne, Du Terrail, Jean Ogier, Schmauch, Benoit, Maussion, Charles, Blay, Jean-Yves, Italiano, Antoine, Coindre, Jean-Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366108/
https://www.ncbi.nlm.nih.gov/pubmed/37488222
http://dx.doi.org/10.1038/s41698-023-00421-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366108/
https://www.ncbi.nlm.nih.gov/pubmed/37488222
http://dx.doi.org/10.1038/s41698-023-00421-9

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