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Skin lesions of face and scalp – Classification by a market-approved convolutional neural network in comparison with 64 dermatologists

Holger A. Haenssle, Julia K. Winkler, Christine Fink, Ferdinand Toberer, Alexander Enk, Wilhelm Stolz, Teresa Deinlein, Rainer Hofmann‐Wellenhof, Harald Kittler, Philipp Tschandl, Cliff Rosendahl, Aimilios Lallas, Andreas Blum, Mohamed Souhayel Abassi, L. Thomas, Isabelle Tromme, Albert Rosenberger, M. Bachelerie, Sonali Bajaj, Alise Balcere, Sophie Baricault, Clément Barthaux, Yvonne Beckenbauer, Ines Bertlich, Andreas Blum, Marie-France Bouthenet, Sophie Brassat, Philipp Marcel Buck, Kristina Buder‐Bakhaya, Maria-Letizia Cappelletti, Cécile Chabbert, Julie Labarthe, Eveline Decoster, Teresa Deinlein, Michèle Dobler, Daphnée Dumon, Steffen Emmert, Julie Gachon-Buffet, Mikhail Gusarov, Franziska Hartmann, Julia Hartmann, Anke Herrmann, Isabelle Hoorens, Eva Hulstaert, Raimonds Karls, Andreea Kolonte, Christian Kromer, Aimilios Lallas, Céline Le Blanc Vasseux, Annabelle Levy-Roy, Pawel Majenka, Marine Marc, Veronique Martin Bourret, Nadège Michelet-Brunacci, Christina Mitteldorf, Jean Paroissien, Camille Picard, Diana Plise, V. Reymann, Fabrice Ribeaudeau, Pauline Richez, Hélène Roche Plaine, D. Salik, Elke Sattler, Sarah K. Schäfer, Roland Schneiderbauer, Thierry Secchi, K. Talour, Lukas Trennheuser, Alexander Wald, Priscila Wölbing, P Zukervar

2020European Journal of Cancer44 citationsDOIOpen Access PDF

Topics & Concepts

Convolutional neural networkMedicineGeneralizability theoryDermatologyScalpDiagnostic accuracyArtificial intelligenceRadiologyComputer sciencePsychologyDevelopmental psychologyCutaneous Melanoma Detection and ManagementNonmelanoma Skin Cancer StudiesAI in cancer detection
Skin lesions of face and scalp – Classification by a market-approved convolutional neural network in comparison with 64 dermatologists | Litcius