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

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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Bibliographic Details
Main Authors: Eugene Tan, MBChB, Sophie Lim, MBBS, Duncan Lamont, MMed, Richard Epstein, MBBS, PhD, David Lim, MBChB, Frank P.Y. Lin, MBChB, PhD
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:JAAD International
Subjects:
artificial intelligence
basal cell carcinoma
deep learning
digital pathology
Mohs micrographic surgery
squamous cell carcinoma
Online Access:http://www.sciencedirect.com/science/article/pii/S2666328723001669

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