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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Veröffentlicht in:Front Med (Lausanne)
Hauptverfasser: 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.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2020
Schlagworte:
Medicine
Online Zugang: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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