Evaluation of Melanoma Thickness with Clinical Close-up and Dermoscopic Images Using a Convolutional Neural Network

Convolutional neural networks (CNNs) have shown promise in discriminating between invasive and in situ melanomas. The aim of this study was to analyse how a CNN model, integrating both clinical close-up and dermoscopic images, performed compared with 6 independent dermatologists. The secondary aim w...

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Autori principali:	Martin Gillstedt, Ludwig Mannius, John Paoli, Johan Dahlén Gyllencreutz, Julia Fougelberg, Eva Johansson Backman, Jenna Pakka, Oscar Zaar, Sam Polesie
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Medical Journals Sweden 2022-10-01
Serie:	Acta Dermato-Venereologica
Soggetti:	artificial intelligence clinical decision-making melanoma neural networks, computer supervised machine learning
Accesso online:	https://medicaljournalssweden.se/actadv/article/view/2681
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