A deep learning model based on whole slide images to predict disease-free survival in cutaneous melanoma patients
Abstract The application of deep learning on whole-slide histological images (WSIs) can reveal insights for clinical and basic tumor science investigations. Finding quantitative imaging biomarkers from WSIs directly for the prediction of disease-free survival (DFS) in stage I–III melanoma patients i...
Main Authors: | Maria Colomba Comes, Livia Fucci, Fabio Mele, Samantha Bove, Cristian Cristofaro, Ivana De Risi, Annarita Fanizzi, Martina Milella, Sabino Strippoli, Alfredo Zito, Michele Guida, Raffaella Massafra |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-11-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-24315-1 |
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