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Evaluation of Pulmonary Nodules by Radiologists vs. Radiomics in Stand-Alone and Complementary CT and MRI

; ; ; ; ; ;

In
The Potential for Artificial Intelligence in Medical Imaging Diagnosis / Special Issue Editors: Mufti Mahmud, Guest Editor; M. Shamim Kaiser, Guest Editor; Vicky N. Yamamoto, Guest Editor; Tanu Wadhera, Guest Editor; M. Murugappan, Guest Editor

In
Diagnostics : open access journal 14(5), Seiten/Artikel-Nr.:483

ImpressumBasel : MDPI

Umfang[1]-10

ISSN2075-4418

Online
DOI: 10.3390/diagnostics14050483

DOI: 10.18154/RWTH-2024-06774
URL: https://publications.rwth-aachen.de/record/989397/files/989397.pdf

Einrichtungen

  1. Lehr- und Forschungsgebiet Interventionelle Radiologie (951320 ; 951310)

Projekte

  1. OAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF) (021000-OAPKF)

Thematische Einordnung (Klassifikation)
DDC: 610

OpenAccess:
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Dokumenttyp
Journal Article/Contribution to a book

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85187434578
WOS Core Collection: WOS:001182727200001
PubMed: pmid:38472955

Interne Identnummern
RWTH-2024-06774
Datensatz-ID: 989397

Beteiligte Länder
Germany

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Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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 Record created 2024-07-18, last modified 2025-09-11


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