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Dense anatomical annotation of slit-lamp images improves the performance of deep learning for the diagnosis of ophthalmic disorders.
Li, Wangting; Yang, Yahan; Zhang, Kai; Long, Erping; He, Lin; Zhang, Lei; Zhu, Yi; Chen, Chuan; Liu, Zhenzhen; Wu, Xiaohang; Yun, Dongyuan; Lv, Jian; Liu, Yizhi; Liu, Xiyang; Lin, Haotian.
Afiliação
  • Li W; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
  • Yang Y; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
  • Zhang K; School of Computer Science and Technology, Xidian University, Xi'an, China.
  • Long E; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
  • He L; School of Computer Science and Technology, Xidian University, Xi'an, China.
  • Zhang L; School of Computer Science and Technology, Xidian University, Xi'an, China.
  • Zhu Y; Department of Molecular and Cellular Pharmacology, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Chen C; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Liu Z; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
  • Wu X; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
  • Yun D; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
  • Lv J; Department of Ophthalmology, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
  • Liu Y; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China. yizhi_liu@aliyun.com.
  • Liu X; School of Computer Science and Technology, Xidian University, Xi'an, China. xyliu@xidian.edu.cn.
  • Lin H; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China. linht5@mail.sysu.edu.cn.
Nat Biomed Eng ; 4(8): 767-777, 2020 08.
Article em En | MEDLINE | ID: mdl-32572198
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Assistida por Computador / Oftalmopatias / Microscopia com Lâmpada de Fenda / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Observational_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Assistida por Computador / Oftalmopatias / Microscopia com Lâmpada de Fenda / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Observational_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article