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Fully automated identification of cephalometric landmarks for upper airway assessment using cascaded convolutional neural networks.
Yoon, Hyun-Joo; Kim, Dong-Ryul; Gwon, Eunseo; Kim, Namkug; Baek, Seung-Hak; Ahn, Hyo-Won; Kim, Kyung-A; Kim, Su-Jung.
Afiliación
  • Yoon HJ; Department of Dentistry, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
  • Kim DR; Department of Dentistry, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
  • Gwon E; Department of Convergence Medicine, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Kim N; Department of Convergence Medicine, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Baek SH; Department of Radiology, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Ahn HW; Department of Orthodontics, School of Dentistry, Seoul National University, Seoul, Republic of Korea.
  • Kim KA; Department of Orthodontics, School of Dentistry, Kyung Hee University, Seoul, Republic of Korea.
  • Kim SJ; Department of Orthodontics, School of Dentistry, Kyung Hee University, Seoul, Republic of Korea.
Eur J Orthod ; 44(1): 66-77, 2022 01 25.
Article en En | MEDLINE | ID: mdl-34379120
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Cara Tipo de estudio: Diagnostic_studies Límite: Adult / Humans Idioma: En Revista: Eur J Orthod Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Cara Tipo de estudio: Diagnostic_studies Límite: Adult / Humans Idioma: En Revista: Eur J Orthod Año: 2022 Tipo del documento: Article