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

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

BackgroundStudies 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 ca...

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Bibliographic Details
Main Authors: Maron, Roman C, Hekler, Achim, Krieghoff-Henning, Eva, Schmitt, Max, Schlager, Justin G, Utikal, Jochen S, Brinker, Titus J
Format: Article
Language:English
Published: JMIR Publications 2021-03-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2021/3/e21695

Internet

https://www.jmir.org/2021/3/e21695

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