Comparison between vision transformers and convolutional neural networks to predict non-small lung cancer recurrence

Non-Small cell lung cancer (NSCLC) is one of the most dangerous cancers, with 85% of all new lung cancer diagnoses and a 30–55% of recurrence rate after surgery. Thus, an accurate prediction of recurrence risk in NSCLC patients during diagnosis could be essential to drive targeted therapies preventi...

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Detalles Bibliográficos
Autores principales: Fanizzi, Annarita, Fadda, Federico, Comes, Maria Colomba, Bove, Samantha, Catino, Annamaria, Di Benedetto, Erika, Milella, Angelo, Montrone, Michele, Nardone, Annalisa, Soranno, Clara, Rizzo, Alessandro, Guven, Deniz Can, Galetta, Domenico, Massafra, Raffaella
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/PMC10667245/
https://www.ncbi.nlm.nih.gov/pubmed/37996651
http://dx.doi.org/10.1038/s41598-023-48004-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667245/
https://www.ncbi.nlm.nih.gov/pubmed/37996651
http://dx.doi.org/10.1038/s41598-023-48004-9

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