%0 Journal Article %1 Brinker2022-wg %A Brinker, Titus J %A Schmitt, Max %A Krieghoff-Henning, Eva I %A Barnhill, Raymond %A Beltraminelli, Helmut %A Braun, Stephan A %A Carr, Richard %A Fernandez-Figueras, Maria-Teresa %A Ferrara, Gerardo %A Fraitag, Sylvie %A Gianotti, Raffaele %A Llamas-Velasco, Mar %A Müller, Cornelia S L %A Perasole, Antonio %A Requena, Luis %A Sangueza, Omar P %A Santonja, Carlos %A Starz, Hans %A Vale, Esmeralda %A Weyers, Wolfgang %A Hekler, Achim %A Kather, Jakob N %A Fröhling, Stefan %A Krahl, Dieter %A Holland-Letz, Tim %A Utikal, Jochen S %A Saggini, Andrea %A Kutzner, Heinz %D 2022 %I Elsevier BV %J J. Am. Acad. Dermatol. %K topic_lifescience %N 3 %P 640--642 %T Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists %V 86

@article{Brinker2022-wg, added-at = {2024-09-10T11:56:37.000+0200}, author = {Brinker, Titus J and Schmitt, Max and Krieghoff-Henning, Eva I and Barnhill, Raymond and Beltraminelli, Helmut and Braun, Stephan A and Carr, Richard and Fernandez-Figueras, Maria-Teresa and Ferrara, Gerardo and Fraitag, Sylvie and Gianotti, Raffaele and Llamas-Velasco, Mar and M{\"u}ller, Cornelia S L and Perasole, Antonio and Requena, Luis and Sangueza, Omar P and Santonja, Carlos and Starz, Hans and Vale, Esmeralda and Weyers, Wolfgang and Hekler, Achim and Kather, Jakob N and Fr{\"o}hling, Stefan and Krahl, Dieter and Holland-Letz, Tim and Utikal, Jochen S and Saggini, Andrea and Kutzner, Heinz}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2f4cdd76a6bea92b64fcbf5baebb815a1/scadsfct}, copyright = {http://creativecommons.org/licenses/by/4.0/}, interhash = {08e3ac74e470553d22a60b380972f1ca}, intrahash = {f4cdd76a6bea92b64fcbf5baebb815a1}, journal = {J. Am. Acad. Dermatol.}, keywords = {topic_lifescience}, language = {en}, month = mar, number = 3, pages = {640--642}, publisher = {Elsevier BV}, timestamp = {2024-09-10T15:11:13.000+0200}, title = {Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists}, volume = 86, year = 2022 }