A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification

A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification

IntroductionArtificial Intelligence (AI) has proven effective in classifying skin cancers using dermoscopy images. In experimental settings, algorithms have outperformed expert dermatologists in classifying melanoma and keratinocyte cancers. However, clinical application is limited when algorithms a...

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Bibliographic Details
Main Authors: Clare A. Primiero, Brigid Betz-Stablein, Nathan Ascott, Brian D’Alessandro, Seraphin Gaborit, Paul Fricker, Abigail Goldsteen, Sandra González-Villà, Katie Lee, Sana Nazari, Hang Nguyen, Valsamis Ntouskos, Frederik Pahde, Balázs E. Pataki, Josep Quintana, Susana Puig, Gisele G. Rezze, Rafael Garcia, H. Peter Soyer, Josep Malvehy
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Medicine
Subjects:
artificial intelligence
total body photography
dermatology
melanoma
computer—aided diagnosis
computer image analyses
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1380984/full

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https://www.frontiersin.org/articles/10.3389/fmed.2024.1380984/full

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