AI-based approaches in the daily practice of abdominal imaging.

Details

Ressource 1Download: final article AI.pdf (379.44 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_B5C26FE9E12B
Type
Article: article from journal or magazin.
Publication sub-type
Editorial
Collection
Publications
Institution
UNIL/CHUV
Title
AI-based approaches in the daily practice of abdominal imaging.
Journal
European radiology
Author(s)
Schmidt S.
ISSN
1432-1084 (Electronic)
ISSN-L
0938-7994
Publication state
Published
Issued date
01/2024
Peer-reviewed
Oui
Volume
34
Number
1
Pages
495-497
Language
english
Notes
Publication types: Editorial
Publication Status: ppublish
Abstract
Pas de résumé disponible
Keywords
Humans, Artificial Intelligence, Abdomen/diagnostic imaging, Diagnostic Imaging
URN
urn:nbn:ch:serval-BIB_B5C26FE9E12B6
OAI-PMH
oai:serval.unil.ch:BIB_B5C26FE9E12B
DOI
10.1007/s00330-023-10116-1
Pubmed
37555958
Web of science
001288107100018
Open Access
Yes
Create date
10/08/2023 13:06
Last modification date
29/10/2024 7:21
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