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Anatomical Partition-Based Deep Learning: An Automatic Nasopharyngeal MRI Recognition Scheme.
Li, Song; Hua, Hong-Li; Li, Fen; Kong, Yong-Gang; Zhu, Zhi-Ling; Li, Sheng-Lan; Chen, Xi-Xiang; Deng, Yu-Qin; Tao, Ze-Zhang.
Afiliação
  • Li S; Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
  • Hua HL; Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
  • Li F; Department of Otolaryngology-Head and Neck Surgery, Central Laboratory, Renmin Hospital of Wuhan University, Wuhan, China.
  • Kong YG; Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
  • Zhu ZL; Department of Otolaryngology-Head and Neck Surgery, Central Laboratory, Renmin Hospital of Wuhan University, Wuhan, China.
  • Li SL; Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Chen XX; Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Deng YQ; Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Tao ZZ; Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
J Magn Reson Imaging ; 56(4): 1220-1229, 2022 Oct.
Article em En | MEDLINE | ID: mdl-35157782
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Nasofaríngeas / Aprendizado Profundo Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Nasofaríngeas / Aprendizado Profundo Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China