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Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists
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In
Journal of the American Academy of Dermatology : JAAD 86(3), Seiten/Artikel-Nr.:640-642
2022
Online
DOI: 10.1016/j.jaad.2021.02.009
DOI: 10.18154/RWTH-CONV-251229
URL: https://publications.rwth-aachen.de/record/953714/files/953714.pdf
Einrichtungen
OpenAccess: 
PDF
Dokumenttyp
Journal Article (Letter)
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85102510348
WOS Core Collection: WOS:000842485700001
PubMed: pmid:33581189
Interne Identnummern
RWTH-CONV-251229
Datensatz-ID: 953714
Beteiligte Länder
France, Germany, Italy, Spain, Switzerland, UK
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; 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
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The record appears in these collections: |
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