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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Detaylı Bibliyografya
Yayımlandı:Front Med (Lausanne)
Asıl Yazarlar: 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.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Frontiers Media S.A. 2020
Konular:
Medicine
Online Erişim: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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