Ability of artificial intelligence to diagnose coronary artery stenosis using hybrid images of coronary computed tomography angiography and myocardial perfusion SPECT
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2510-3636
- 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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Ability of artificial intelligence to diagnose coronary artery stenosis using hybrid images of coronary computed tomography angiography and myocardial perfusion SPECT ; volume:3 ; number:1 ; day:18 ; month:3 ; year:2019 ; pages:1-14 ; date:12.2019
European journal of hybrid imaging ; 3, Heft 1 (18.3.2019), 1-14, 12.2019
- Urheber
-
Yoneyama, Hiroto
Nakajima, Kenichi
Taki, Junichi
Wakabayashi, Hiroshi
Matsuo, Shinro
Konishi, Takahiro
Okuda, Koichi
Shibutani, Takayuki
Onoguchi, Masahisa
Kinuya, Seigo
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s41824-019-0052-8
- URN
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urn:nbn:de:101:1-2019040716371038747338
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 10:55 MESZ
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Beteiligte
- Yoneyama, Hiroto
- Nakajima, Kenichi
- Taki, Junichi
- Wakabayashi, Hiroshi
- Matsuo, Shinro
- Konishi, Takahiro
- Okuda, Koichi
- Shibutani, Takayuki
- Onoguchi, Masahisa
- Kinuya, Seigo
- SpringerLink (Online service)
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