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Automatic segmentation of the temporomandibular joint disc on magnetic resonance images using a deep learning technique.
Nozawa, Michihito; Ito, Hirokazu; Ariji, Yoshiko; Fukuda, Motoki; Igarashi, Chinami; Nishiyama, Masako; Ogi, Nobumi; Katsumata, Akitoshi; Kobayashi, Kaoru; Ariji, Eiichiro.
Afiliação
  • Nozawa M; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, Nagoya, Japan.
  • Ito H; Division of Radiology, Department of Oral Diagnostic Sciences, Showa University School of Dentistry, Tokyo, Japan.
  • Ariji Y; Department of Oral and Maxillofacial Radiology, Tsurumi University School of Dentistry, Yokohama, Japan.
  • Fukuda M; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, Nagoya, Japan.
  • Igarashi C; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, Nagoya, Japan.
  • Nishiyama M; Department of Oral and Maxillofacial Radiology, Tsurumi University School of Dentistry, Yokohama, Japan.
  • Ogi N; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, Nagoya, Japan.
  • Katsumata A; Department of Oral and Maxillofacial Surgery, Aichi Gakuin University School of Dentistry, Nagoya, Japan.
  • Kobayashi K; Department of Oral Radiology, Asahi University School of Dentistry, Mizuho, Japan.
  • Ariji E; Department of Oral and Maxillofacial Radiology, Tsurumi University School of Dentistry, Yokohama, Japan.
Dentomaxillofac Radiol ; 51(1): 20210185, 2022 Jan 01.
Article em En | MEDLINE | ID: mdl-34347537
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Luxações Articulares / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Dentomaxillofac Radiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Luxações Articulares / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Dentomaxillofac Radiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão