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Deep-Learning to Predict BRCA Mutation and Survival from Digital H&E Slides of Epithelial Ovarian Cancer
BRCA 1/2 genes mutation status can already determine the therapeutic algorithm of high grade serous ovarian cancer patients. Nevertheless, its assessment is not sufficient to identify all patients with genomic instability, since BRCA 1/2 mutations are only the most well-known mechanisms of homologou...
Autores principales: | Nero, Camilla, Boldrini, Luca, Lenkowicz, Jacopo, Giudice, Maria Teresa, Piermattei, Alessia, Inzani, Frediano, Pasciuto, Tina, Minucci, Angelo, Fagotti, Anna, Zannoni, Gianfranco, Valentini, Vincenzo, Scambia, Giovanni |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570450/ https://www.ncbi.nlm.nih.gov/pubmed/36232628 http://dx.doi.org/10.3390/ijms231911326 |
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