Journal Article (Letter)

DKFZ-2021-00357

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists.

Brinker, T. (First author)DKFZ* ; Schmitt, M.DKFZ* ; Krieghoff-Henning, E. I.DKFZ* ; Barnhill, R. ; Beltraminelli, H. ; Braun, S. A. ; Carr, R. ; Fernandez-Figueras, M.-T. ; Ferrara, G. ; Fraitag, S. ; Gianotti, R. ; Llamas-Velasco, M. ; Müller, C. S. L. ; Perasole, A. ; Requena, L. ; Sangueza, O. P. ; Santonja, C. ; Starz, H. ; Vale, E. ; Weyers, W. ; Hekler, A.DKFZ* ; Kather, J. N.DKFZ* ; Fröhling, S.DKFZ* ; Krahl, D. ; Holland-Letz, T.DKFZ* ; Utikal, J. S.DKFZ* ; Saggini, A. ; Kutzner, H.

2022
Elsevier Amsterdam [u.a.]

This record in other databases:  

Please use a persistent id in citations: doi:10.1016/j.jaad.2021.02.009

Note: #EA:C140# / Volume 86, Issue 3, March 2022, Pages 640-642

---

Contributing Institute(s):

1. NWG Digitale Biomarker in der Onkologie (C140)
2. C060 Biostatistik (C060)
3. KKE Dermatoonkologie (A370)
4. Translationale Medizinische Onkologie (B340)
5. DKTK HD zentral (HD01)

Research Program(s):

1. 313 - Krebsrisikofaktoren und Prävention (POF4-313) (POF4-313)

Appears in the scientific report 2021

---

Database coverage:
; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; Essential Science Indicators ; IF >= 15 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---