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CMS-NET: deep learning algorithm to segment and quantify the ciliary muscle in swept-source optical coherence tomography images.
Chen, Wen; Yu, Xiangle; Ye, Yiru; Gao, Hebei; Cao, Xinyuan; Lin, Guangqing; Zhang, Riyan; Li, Zixuan; Wang, Xinmin; Zhou, Yuheng; Shen, Meixiao; Shao, Yilei.
Afiliação
  • Chen W; School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China.
  • Yu X; School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China.
  • Ye Y; The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Gao H; School of Information and Engineering, Wenzhou Medical University, Wenzhou, China.
  • Cao X; Division of Health Sciences, Hangzhou Normal University, Hangzhou, China.
  • Lin G; School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China.
  • Zhang R; School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China.
  • Li Z; School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China.
  • Wang X; School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China.
  • Zhou Y; School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China.
  • Shen M; School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China.
  • Shao Y; School of Ophthalmology and Optometry, Wenzhou Medical University, 270 Xueyuan Road, Wenzhou 325027, China.
Ther Adv Chronic Dis ; 14: 20406223231159616, 2023.
Article em En | MEDLINE | ID: mdl-36938499
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ther Adv Chronic Dis 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: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ther Adv Chronic Dis Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China