Rainer Hofmann‐Wellenhof

Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study

Philipp Tschandl, Noel Codella, Bengü Nisa Akay et al. · The Lancet Oncology · 2019 · 513 citations · Full text

Diagnostic Study, Engineering, Machine Learning +16

Vascular Structures in Skin Tumors

Giuseppe Argenziano, Iris Zalaudek, Rosamaria Corona et al. · Archives of Dermatology · 2004 · 353 citations

Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition

Julia K. Winkler, Christine Fink, Ferdinand Toberer et al. · JAMA Dermatology · 2019 · 352 citations · Full text

Dermoscopy of Bowen's disease

Iris Zalaudek, Giuseppe Argenziano, Bernd Leinweber et al. · British Journal of Dermatology · 2004 · 241 citations

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

Holger A. Haenssle, Christine Fink, Ferdinand Toberer et al. · Annals of Oncology · 2020 · 222 citations · Full text