Assessment of melanoma thickness based on dermoscopy images: an open, web-based, international, diagnostic study.

Sam Polesie Martin Gillstedt Harald Kittler Christoph Rinner Philipp Tschandl John Paoli

Published in: Journal of the European Academy of Dermatology and Venereology : JEADV (2022)

Using dermoscopy images, readers and CNNs predict melanoma thickness with fair to moderate accuracy. Readers most accurately discriminated between thin (≤1.0 mm including MIS) and thick melanomas (>1.0 mm).

Keyphrases

optical coherence tomography
deep learning
convolutional neural network
skin cancer
basal cell carcinoma