Comparison between vision transformers and convolutional neural networks to predict non-small lung cancer recurrence
Abstract 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...
Main Authors: | Annarita Fanizzi, Federico Fadda, Maria Colomba Comes, Samantha Bove, Annamaria Catino, Erika Di Benedetto, Angelo Milella, Michele Montrone, Annalisa Nardone, Clara Soranno, Alessandro Rizzo, Deniz Can Guven, Domenico Galetta, Raffaella Massafra |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-11-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-48004-9 |
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