AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
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AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients ; volume:12 ; number:1 ; day:13 ; month:7 ; year:2022 ; pages:1-9 ; date:12.2022
Scientific reports ; 12, Heft 1 (13.7.2022), 1-9, 12.2022
- Urheber
-
Orhan, Kaan
Shamshiev, Mamat
Ezhov, Matvey
Plaksin, Alexander
Kurbanova, Aida
Ünsal, Gürkan
Gusarev, Maxim
Golitsyna, Maria
Aksoy, Seçil
Mısırlı, Melis
Rasmussen, Finn
Shumilov, Eugene
Sanders, Alex
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-022-15920-1
- URN
-
urn:nbn:de:101:1-2022091812211313106640
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:30 MESZ
Datenpartner
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Beteiligte
- Orhan, Kaan
- Shamshiev, Mamat
- Ezhov, Matvey
- Plaksin, Alexander
- Kurbanova, Aida
- Ünsal, Gürkan
- Gusarev, Maxim
- Golitsyna, Maria
- Aksoy, Seçil
- Mısırlı, Melis
- Rasmussen, Finn
- Shumilov, Eugene
- Sanders, Alex
- SpringerLink (Online service)
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