Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model Study

BACKGROUND: Studies have shown that artificial intelligence achieves similar or better performance than dermatologists in specific dermoscopic image classification tasks. However, artificial intelligence is susceptible to the influence of confounding factors within images (eg, skin markings), which...

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Détails bibliographiques
Publié dans:J Med Internet Res
Auteurs principaux: Maron, Roman C, Hekler, Achim, Krieghoff-Henning, Eva, Schmitt, Max, Schlager, Justin G, Utikal, Jochen S, Brinker, Titus J
Format: Artigo
Langue:Inglês
Publié: JMIR Publications 2021
Sujets:
Original Paper
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC8074854/
https://ncbi.nlm.nih.gov/pubmed/33764307
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/21695
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