AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
2045-2322
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
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

Creator
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
Contributor
SpringerLink (Online service)

DOI
10.1038/s41598-022-15920-1
URN
urn:nbn:de:101:1-2022091812211313106640
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:30 AM CEST

Data provider

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Associated

  • 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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