Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images

Hekler, Achim; Utikal, Jochen S.; Enk, Alexander H.; Solass, Wiebke; Schmitt, Max; Klode, Joachim; Schadendorf, Dirk; Sondermann, Wiebke; Franklin, Cindy; Bestvater, Felix; Flaig, Michael J.; Krahl, Dieter; von Kalle, Christof; Froehling, Stefan; Brinker, Titus J.

dc.contributor.author	Solaß, Wiebke
dc.date.accessioned	2020-02-18T12:46:22Z
dc.date.available	2020-02-18T12:46:22Z
dc.date.issued	2019
dc.identifier.issn	1879-0852
dc.identifier.uri	http://hdl.handle.net/10900/98156
dc.language.iso	en	de_DE
dc.publisher	Elsevier Sci Ltd	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.ejca.2019.06.012	de_DE
dc.subject.ddc	610	de_DE
dc.title	Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images	de_DE
dc.type	Article	de_DE
utue.quellen.id	20190926111821_00121
utue.publikation.seiten	91-96	de_DE
utue.personen.roh	Hekler, Achim
utue.personen.roh	Utikal, Jochen S.
utue.personen.roh	Enk, Alexander H.
utue.personen.roh	Solass, Wiebke
utue.personen.roh	Schmitt, Max
utue.personen.roh	Klode, Joachim
utue.personen.roh	Schadendorf, Dirk
utue.personen.roh	Sondermann, Wiebke
utue.personen.roh	Franklin, Cindy
utue.personen.roh	Bestvater, Felix
utue.personen.roh	Flaig, Michael J.
utue.personen.roh	Krahl, Dieter
utue.personen.roh	von Kalle, Christof
utue.personen.roh	Froehling, Stefan
utue.personen.roh	Brinker, Titus J.
dcterms.isPartOf.ZSTitelID	European Journal of Cancer	de_DE
dcterms.isPartOf.ZS-Volume	118	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE