Your browser doesn't support javascript.
loading
Utility of deep learning for the diagnosis of cochlear malformation on temporal bone CT.
Li, Zhenhua; Zhou, Langtao; Bin, Xiang; Tan, Songhua; Tan, Zhiqiang; Tang, Anzhou.
Affiliation
  • Li Z; Department of Otorhinolaryngology-Head and Neck Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, Hunan, People's Republic of China.
  • Zhou L; School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, People's Republic of China.
  • Bin X; Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
  • Tan S; Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
  • Tan Z; Department of Otorhinolaryngology-Head and Neck Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, Hunan, People's Republic of China.
  • Tang A; Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China. tanganzhou@gxmu.edu.cn.
Jpn J Radiol ; 42(3): 261-267, 2024 Mar.
Article in En | MEDLINE | ID: mdl-37812304
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Jpn J Radiol Journal subject: DIAGNOSTICO POR IMAGEM / RADIOLOGIA / RADIOTERAPIA Year: 2024 Document type: Article Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Jpn J Radiol Journal subject: DIAGNOSTICO POR IMAGEM / RADIOLOGIA / RADIOTERAPIA Year: 2024 Document type: Article Country of publication: