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A semi-supervised learning approach for automated 3D cephalometric landmark identification using computed tomography.
Yun, Hye Sun; Hyun, Chang Min; Baek, Seong Hyeon; Lee, Sang-Hwy; Seo, Jin Keun.
Afiliação
  • Yun HS; School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, South Korea.
  • Hyun CM; School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, South Korea.
  • Baek SH; School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, South Korea.
  • Lee SH; Department of Oral and Maxillofacial Surgery, Oral Science Research Center, College of Dentistry, Yonsei University, Seoul, South Korea.
  • Seo JK; School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, South Korea.
PLoS One ; 17(9): e0275114, 2022.
Article em En | MEDLINE | ID: mdl-36170279
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento Tridimensional / Pontos de Referência Anatômicos Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento Tridimensional / Pontos de Referência Anatômicos Idioma: En Ano de publicação: 2022 Tipo de documento: Article