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iERM: An Interpretable Deep Learning System to Classify Epiretinal Membrane for Different Optical Coherence Tomography Devices: A Multi-Center Analysis.
Jin, Kai; Yan, Yan; Wang, Shuai; Yang, Ce; Chen, Menglu; Liu, Xindi; Terasaki, Hiroto; Yeo, Tun-Hang; Singh, Neha Gulab; Wang, Yao; Ye, Juan.
Afiliação
  • Jin K; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou 310009, China.
  • Yan Y; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou 310009, China.
  • Wang S; School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, China.
  • Yang C; School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, China.
  • Chen M; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou 310009, China.
  • Liu X; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou 310009, China.
  • Terasaki H; Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima 890-8520, Japan.
  • Yeo TH; Ophthalmology and Visual Sciences, Khoo Teck Puat Hospital, National Healthcare Group, Singapore 768828, Singapore.
  • Singh NG; Ophthalmology and Visual Sciences, Khoo Teck Puat Hospital, National Healthcare Group, Singapore 768828, Singapore.
  • Wang Y; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou 310009, China.
  • Ye J; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou 310009, China.
J Clin Med ; 12(2)2023 Jan 04.
Article em En | MEDLINE | ID: mdl-36675327
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: J Clin Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: J Clin Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China