Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Marie-France Bouthenet"'
Autor:
Holger Andreas Haenssle, Julia Katharina 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, Luc Thomas, Isabelle Tromme, Albert Rosenberger, Marie Bachelerie, Sonali Bajaj, Alise Balcere, Sophie Baricault, Clément Barthaux, Yvonne Beckenbauer, Ines Bertlich, Marie-France Bouthenet, Sophie Brassat, Philipp Marcel Buck, Kristina Buder-Bakhaya, Maria-Letizia Cappelletti, Cécile Chabbert, Julie De Labarthe, Eveline DeCoster, 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, 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, Valérie Reymann, Fabrice Ribeaudeau, Pauline Richez, Hélène Roche Plaine, Deborah Salik, Elke Sattler, Sarah Schäfer, Roland Schneiderbauer, Thierry Secchi, Karen Talour, Lukas Trennheuser, Alexander Wald, Priscila Wölbing, Pascale Zukervar
Publikováno v:
European Journal of Cancer. 144:192-199
The clinical differentiation of face and scalp lesions (FSLs) is challenging even for trained dermatologists. Studies comparing the diagnostic performance of a convolutional neural network (CNN) with dermatologists in FSL are lacking.A market-approve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da98409613a08d50eecb5112900633da
https://doi.org/10.1016/j.ejca.2020.11.034
https://doi.org/10.1016/j.ejca.2020.11.034
Autor:
Fabrice Ribeaudeau, Alexander Wald, Timo Buhl, Maria-Letizia Cappelletti, Franziska Hartmann, Philipp Marcel Buck, Rainer Hofmann-Wellenhof, Christina Mitteldorf, Julie Gachon-Buffet, Eva Hulstaert, Jean Paroissien, Isabelle Hoorens, Albert Rosenberger, Diana Plise, M. Zutt, Holger A. Haenssle, Elke Sattler, Roland Schneiderbauer, Marie Bachelerie, Andreas Blum, Daphnée Dumon, Yvonne Beckenbauer, Kristina Buder-Bakhaya, Isabelle Tromme, Aimilios Lallas, Luc Thomas, Mohamed Souhayel Abassi, A. Lallas, Christine Fink, Steffen Emmert, Michèle Dobler, Marine Marc, Mikhail Gusarov, Karen Talour, A. Blum, Wilhelm Stolz, S. Emmert, Pauline Richez, Annabelle Levy-Roy, Pascale Zukervar, Hélène Roche Plaine, Raimonds Karls, Camille Picard, Julie De Labarthe, Valérie Reymann, Ines Bertlich, Cécile Chabbert, Alexander Enk, Priscila Wölbing, Christian Kromer, Deborah Salik, Sophie Brassat, Eveline DeCoster, Marie-France Bouthenet, Céline Le Blanc Vasseux, T. Deinlein, Julia Hartmann, Teresa Deinlein, Sophie Baricault, Anke Herrmann, Thierry Secchi, Sonali Bajaj, Philipp Tschandl, Sarah Schäfer, Pawel Majenka, Veronique Martin Bourret, Julia K. Winkler, Lukas Trennheuser, Clément Barthaux, Christina Alt, Nadège Michelet-Brunacci, Andreea Kolonte, Alise Balcere, Ferdinand Toberer
Publikováno v:
Annals of oncology, Vol. 31, no.1, p. 137-143 (2020)
Convolutional neural networks (CNNs) efficiently differentiate skin lesions by image analysis. Studies comparing a market-approved CNN in a broad range of diagnoses to dermatologists working under less artificial conditions are lacking. One hundred c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce3766ee2c18d4c3e6558fff2017357c
https://pubmed.ncbi.nlm.nih.gov/31912788
https://pubmed.ncbi.nlm.nih.gov/31912788