Development and validation of a deep learning model for improving detection of nonmelanoma skin cancers treated with Mohs micrographic surgeryCapsule Summary

Background: Real-time review of frozen sections underpins the quality of Mohs surgery. There is an unmet need for low-cost techniques that can improve Mohs surgery by reliably corroborating cancerous regions of interest and surgical margin proximity. Objective: To test that deep learning models can...

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Detalhes bibliográficos

Principais autores:	Eugene Tan, MBChB, Sophie Lim, MBBS, Duncan Lamont, MMed, Richard Epstein, MBBS, PhD, David Lim, MBChB, Frank P.Y. Lin, MBChB, PhD
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-03-01
coleção:	JAAD International
Assuntos:	artificial intelligence basal cell carcinoma deep learning digital pathology Mohs micrographic surgery squamous cell carcinoma
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2666328723001669
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