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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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