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Automation of data analysis in molecular cancer imaging and its potential impact on future clinical practice
Theek, BenjaminRWTH* ; Magnuska, ZuzannaRWTH* ; Gremse, FelixRWTH* ; Hahn, Horst ; Schulz, Volkmar AdolfRWTH* ; Kiessling, Fabian (Corresponding author)RWTH*
In
Artificial Intelligence Approaches for Imaging Biomarkers / Edited by Felix M. Mottaghy, Mohsen Beheshti
In
Methods : a companion to methods in enzymology 188, Seiten/Artikel-Nr.:3036
2021 & 2020
ImpressumOrlando, Fla. : Academic Press
ISSN1095-9130
Received 2 April 2020, Accepted 23 June 2020, Available online 29 June 2020
Online
DOI: 10.1016/j.ymeth.2020.06.019
10.1016/j.ymeth.2020.06.019
Einrichtungen
- Institut und Lehrstuhl für Experimentelle Molekulare Bildgebung (811003-3)
- Institut und Lehrstuhl für Medizinische Informatik (526500-2)
- Lehrstuhl für Bildverarbeitung (611710)
Dokumenttyp
Journal Article/Contribution to a book
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85087286949
WOS Core Collection: WOS:000631883800003
PubMed: pmid:32620453
OpenAlex: W3038234902
Interne Identnummern
RWTH-CONV-244283
Datensatz-ID: 813318
Beteiligte Länder
Germany
Lizenzstatus der Zeitschrift

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Book
Mottaghy, F. (Editor)RWTH* ; Beheshti, M. (Editor)
Artificial Intelligence Approaches for Imaging Biomarkers
Methods : a companion to methods in enzymology 188, (2021)2021
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