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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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