A deep‐learning algorithm to localize basal cell carcinoma foci on Mohs surgery frozen sections - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Journal Articles Journal of the European Academy of Dermatology and Venereology Year : 2023

A deep‐learning algorithm to localize basal cell carcinoma foci on Mohs surgery frozen sections

Abstract

Previous studies applied deep learning to Mohs micrographic surgery (MMS) by developing algorithms able to classify digitized histopathology slides as BCC positive or negative. 1-3 Because the histological location of residual tumour is necessary to guide subsequent excision, we aimed to develop and evaluate an algorithm using convolutional neural networks (CNNs) that would automatically localize and point out BCC tumour islands in digitized MMS histology slides.
Fichier principal
Vignette du fichier
Acad Dermatol Venereol - 2023 - Bonnefille - A deep‐learning algorithm to localize basal cell carcinoma foci on Mohs.pdf (1.34 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

lirmm-04260897 , version 1 (26-10-2023)

Identifiers

Cite

Hugo Bonnefille, Marwan Abbas, Pascal Roger, François Habib, Farzaneh Masset, et al.. A deep‐learning algorithm to localize basal cell carcinoma foci on Mohs surgery frozen sections. Journal of the European Academy of Dermatology and Venereology, 2023, 37 (5), pp.e631-e632. ⟨10.1111/jdv.18859⟩. ⟨lirmm-04260897⟩
12 View
8 Download

Altmetric

Share

Gmail Facebook X LinkedIn More