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Man against machine reloaded: performance of a market-approved convolutional neural network in classifying a broad spectrum of skin lesions in comparison with 96 dermatologists working under less artificial conditions.
Haenssle HA, Fink C, Toberer F, Winkler J, Stolz W, Deinlein T, Hofmann-Wellenhof R, Lallas A, Emmert S, Buhl T, Zutt M, Blum A, Abassi MS, Thomas L, Tromme I, Tschandl P, Enk A, Rosenberger A; Reader Study Level I and Level II Groups. Haenssle HA, et al. Ann Oncol. 2020 Jan;31(1):137-143. doi: 10.1016/j.annonc.2019.10.013. Ann Oncol. 2020. PMID: 31912788 Free article.
Skin lesions of face and scalp - Classification by a market-approved convolutional neural network in comparison with 64 dermatologists.
Haenssle HA, Winkler JK, Fink C, Toberer F, Enk A, Stolz W, Deinlein T, Hofmann-Wellenhof R, Kittler H, Tschandl P, Rosendahl C, Lallas A, Blum A, Abassi MS, Thomas L, Tromme I, Rosenberger A; Reader study level-I and level-II Groups Christina Alt. Haenssle HA, et al. Eur J Cancer. 2021 Feb;144:192-199. doi: 10.1016/j.ejca.2020.11.034. Epub 2020 Dec 25. Eur J Cancer. 2021. PMID: 33370644