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Deep learning technique to detect craniofacial anatomical abnormalities concentrated on middle and anterior of face in patients with sleep apnea.
He, Shuai; Li, Yingjie; Zhang, Chong; Li, Zufei; Ren, Yuanyuan; Li, Tiancheng; Wang, Jianting.
Afiliación
  • He S; Department of Otolaryngology Head and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, China.
  • Li Y; School of Computer Science and Engineering, Beijing Technology and Business University, China.
  • Zhang C; Department of Big Data Management and Application, School of International Economics and Management, Beijing Technology and Business University, China.
  • Li Z; Department of Otolaryngology Head and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, China.
  • Ren Y; Department of Otolaryngology Head and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, China.
  • Li T; Department of Otolaryngology Head and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, China. Electronic address: litianchengltc@163.com.
  • Wang J; Department of Otolaryngology Head and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, China. Electronic address: ENT_wjt@163.com.
Sleep Med ; 112: 12-20, 2023 12.
Article en En | MEDLINE | ID: mdl-37801860

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndromes de la Apnea del Sueño / Anomalías Craneofaciales / Apnea Obstructiva del Sueño / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sleep Med Asunto de la revista: NEUROLOGIA / PSICOFISIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndromes de la Apnea del Sueño / Anomalías Craneofaciales / Apnea Obstructiva del Sueño / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sleep Med Asunto de la revista: NEUROLOGIA / PSICOFISIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos