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Automated diagnosis of age-related macular degeneration using multi-modal vertical plane feature fusion via deep learning.
Chen, Menglu; Jin, Kai; Yan, Yan; Liu, Xindi; Huang, Xiaoling; Gao, Zhiyuan; Wang, Yao; Wang, Shuai; Ye, Juan.
Afiliación
  • Chen M; Department of Ophthalmology, College of Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
  • Jin K; Department of Ophthalmology, College of Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
  • Yan Y; Department of Ophthalmology, College of Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
  • Liu X; Department of Ophthalmology, College of Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
  • Huang X; Department of Ophthalmology, College of Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
  • Gao Z; Department of Ophthalmology, College of Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
  • Wang Y; Department of Ophthalmology, College of Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
  • Wang S; School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, People's Republic of China.
  • Ye J; Department of Ophthalmology, College of Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Med Phys ; 49(4): 2324-2333, 2022 Apr.
Article en En | MEDLINE | ID: mdl-35172022
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Degeneración Macular Húmeda / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Degeneración Macular Húmeda / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article