Search Results - "Ribeaudeau, Fabrice"

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 by Haenssle, H.A., Fink, C., Toberer, F., Winkler, J., Stolz, W., Deinlein, T., Hofmann-Wellenhof, R., Lallas, A., Emmert, S., Buhl, T., Zutt, M., Blum, A., Abassi, M.S., Thomas, L., Tromme, I., Tschandl, P., Enk, A., Rosenberger, 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, Emmert, Steffen, Gachon-Buffet, Julie, Gusarov, Mikhail, Hartmann, Franziska, 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

“…Convolutional neural networks (CNNs) efficiently differentiate skin lesions by image analysis. Studies comparing a market-approved CNN in a broad range of…”
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Skin lesions of face and scalp – Classification by a market-approved convolutional neural network in comparison with 64 dermatologists by Haenssle, Holger Andreas, Winkler, Julia Katharina, Fink, Christine, Toberer, Ferdinand, Enk, Alexander, Stolz, Wilhelm, Deinlein, Teresa, Hofmann-Wellenhof, Rainer, Kittler, Harald, Tschandl, Philipp, Rosendahl, Cliff, Lallas, Aimilios, Blum, Andreas, Abassi, Mohamed Souhayel, Thomas, Luc, Tromme, Isabelle, Rosenberger, Albert, Bachelerie, Marie, Bajaj, Sonali, Balcere, Alise, Baricault, Sophie, Barthaux, Clément, Beckenbauer, Yvonne, Bertlich, Ines, Blum, Andreas, Bouthenet, Marie-France, Brassat, Sophie, Buck, Philipp Marcel, Buder-Bakhaya, Kristina, Cappelletti, Maria-Letizia, Chabbert, Cécile, De Labarthe, Julie, DeCoster, Eveline, Deinlein, Teresa, Dobler, Michèle, Dumon, Daphnée, Emmert, Steffen, Gachon-Buffet, Julie, Gusarov, Mikhail, Hartmann, Franziska, 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, Plaine, Hélène Roche, Salik, Deborah, Sattler, Elke, Schäfer, Sarah, Schneiderbauer, Roland, Secchi, Thierry, Talour, Karen, Trennheuser, Lukas, Wald, Alexander, Wölbing, Priscila, Zukervar, Pascale

“…The clinical differentiation of face and scalp lesions (FSLs) is challenging even for trained dermatologists. Studies comparing the diagnostic performance of a…”
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