A deep learning model based on whole slide images to predict disease-free survival in cutaneous melanoma patients

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...

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Bibliographic Details
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
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-24315-1

Internet

https://doi.org/10.1038/s41598-022-24315-1

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