Effects of Label Noise on Deep Learning-Based Skin Cancer Classification

Recent studies have shown that deep learning is capable of classifying dermatoscopic images at least as well as dermatologists. However, many studies in skin cancer classification utilize non-biopsy-verified training images. This imperfect ground truth introduces a systematic error, but the effects...

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Detalles Bibliográficos
Publicado en:Front Med (Lausanne)
Main Authors: Hekler, Achim, Kather, Jakob N., Krieghoff-Henning, Eva, Utikal, Jochen S., Meier, Friedegund, Gellrich, Frank F., Upmeier zu Belzen, Julius, French, Lars, Schlager, Justin G., Ghoreschi, Kamran, Wilhelm, Tabea, Kutzner, Heinz, Berking, Carola, Heppt, Markus V., Haferkamp, Sebastian, Sondermann, Wiebke, Schadendorf, Dirk, Schilling, Bastian, Izar, Benjamin, Maron, Roman, Schmitt, Max, Fröhling, Stefan, Lipka, Daniel B., Brinker, Titus J.
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2020
Assuntos:
Medicine
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7218064/
https://ncbi.nlm.nih.gov/pubmed/32435646
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fmed.2020.00177
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