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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Podrobná bibliografie
Vydáno v:J Med Internet Res
Hlavní autoři: Maron, Roman C, Hekler, Achim, Krieghoff-Henning, Eva, Schmitt, Max, Schlager, Justin G, Utikal, Jochen S, Brinker, Titus J
Médium: Artigo
Jazyk:Inglês
Vydáno: JMIR Publications 2021
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Original Paper
On-line přístup: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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