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

Date Issued
2020
Author(s)
Haenssle, H.A.
Fink, C.
Toberer, F.
Winkler, J.
Stolz, W.
Deinlein, T.
Hofmann-Wellenhof, R.
Lallas, A.
Blum, A.
Abassi, M.S.
Thomas, L.
Tromme, I.
Tschandl, P.
Enk, A.
Alt, Christina
Bachelerie, Marie
Bajaj, Sonali
Balcere, Alise
Baricault, Sophie
Barthaux, Clément
Beckenbauer, Yvonne
Bertlich, Ines
Blum, Andreas
Bouthenet, Marie-France
Brassat, Sophie
Marcel Buck, Philipp
Buder-Bakhaya, Kristina
Cappelletti, Maria-Letizia
Chabbert, Cécile
De Labarthe, Julie
DeCoster, Eveline
Deinlein, Teresa
Dobler, Michèle
Dumon, Daphnée
Gachon-Buffet, Julie
Gusarov, Mikhail
Hartmann, Julia
Herrmann, Anke
Hoorens, Isabelle
Hulstaert, Eva
Karls, Raimonds
Kolonte, Andreea
Kromer, Christian
Lallas, Aimilios
Le Blanc Vasseux, Céline
Levy-Roy, Annabelle
Majenka, Pawel
Marc, Marine
Bourret, Veronique Martin
Michelet-Brunacci, Nadège
Mitteldorf, Christina
Paroissien, Jean
Picard, Camille
Plise, Diana
Reymann, Valérie
Ribeaudeau, Fabrice
Richez, Pauline
Roche Plaine, Hélène
Salik, Deborah
Sattler, Elke
Schäfer, Sarah
Schneiderbauer, Roland
Secchi, Thierry
Talour, Karen
Trennheuser, Lukas
Wald, Alexander
Wölbing, Priscila
Zukervar, Pascale
DOI
10.1016/j.annonc.2019.10.013