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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Main Authors: Maron, Roman C (Author), Hekler, Achim (Author), Krieghoff-Henning, Eva (Author), Schmitt, Max (Author), Schlager, Justin G (Author), Utikal, Jochen S (Author), Brinker, Titus J (Author)
Format: Book
Published: JMIR Publications, 2021-03-01T00:00:00Z.
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