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

• Главные авторы: Maron, Roman C (Автор), Hekler, Achim (Автор), Krieghoff-Henning, Eva (Автор), Schmitt, Max (Автор), Schlager, Justin G (Автор), Utikal, Jochen S (Автор), Brinker, Titus J (Автор)
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• Опубликовано: JMIR Publications, 2021-03-01T00:00:00Z.
• Предметы: article
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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...