A CT-based transfer learning approach to predict NSCLC recurrence: The added-value of peritumoral region

Non-small cell lung cancer (NSCLC) represents 85% of all new lung cancer diagnoses and presents a high recurrence rate after surgery. Thus, an accurate prediction of recurrence risk in NSCLC patients at diagnosis could be essential to designate risk patients to more aggressive medical treatments. In...

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Detalles Bibliográficos
Autores principales: Bove, Samantha, Fanizzi, Annarita, Fadda, Federico, Comes, Maria Colomba, Catino, Annamaria, Cirillo, Angelo, Cristofaro, Cristian, Montrone, Michele, Nardone, Annalisa, Pizzutilo, Pamela, Tufaro, Antonio, Galetta, Domenico, Massafra, Raffaella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153708/
https://www.ncbi.nlm.nih.gov/pubmed/37130116
http://dx.doi.org/10.1371/journal.pone.0285188

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153708/
https://www.ncbi.nlm.nih.gov/pubmed/37130116
http://dx.doi.org/10.1371/journal.pone.0285188

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