Application of a deep learning system in glaucoma screening and further classification with colour fundus photographs: a case control study

Application of a deep learning system in glaucoma screening and further classification with colour fundus photographs: a case control study

Abstract Background To verify efficacy of automatic screening and classification of glaucoma with deep learning system. Methods A cross-sectional, retrospective study in a tertiary referral hospital. Patients with healthy optic disc, high-tension, or normal-tension glaucoma were enrolled. Complicate...

Full description

Bibliographic Details
Main Authors: Kuo-Hsuan Hung, Yu-Ching Kao, Yu-Hsuan Tang, Yi-Ting Chen, Chuen-Heng Wang, Yu-Chen Wang, Oscar Kuang-Sheng Lee
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BMC Ophthalmology
Subjects:
Glaucoma screening and classification
Deep learning system
Normal- tension glaucoma
Colour fundus photograph
High myopia
Online Access:https://doi.org/10.1186/s12886-022-02730-2

Similar Items

Similar Items