Fully automated quantification of cardiac chamber and function assessment in 2-D echocardiography: clinical feasibility of deep learning-based algorithms
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1573-0743
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Fully automated quantification of cardiac chamber and function assessment in 2-D echocardiography: clinical feasibility of deep learning-based algorithms ; volume:38 ; number:5 ; day:13 ; month:2 ; year:2022 ; pages:1047-1059 ; date:5.2022
The international journal of cardiovascular imaging ; 38, Heft 5 (13.2.2022), 1047-1059, 5.2022
- Urheber
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Kim, Sekeun
Park, Hyung-Bok
Jeon, Jaeik
Arsanjani, Reza
Heo, Ran
Lee, Sang-Eun
Moon, Inki
Yoo, Sun Kook
Chang, Hyuk-Jae
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s10554-021-02482-y
- URN
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urn:nbn:de:101:1-2022071010160604751650
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:31 MESZ
Datenpartner
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Beteiligte
- Kim, Sekeun
- Park, Hyung-Bok
- Jeon, Jaeik
- Arsanjani, Reza
- Heo, Ran
- Lee, Sang-Eun
- Moon, Inki
- Yoo, Sun Kook
- Chang, Hyuk-Jae
- SpringerLink (Online service)
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