Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia

Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia

Abstract Background Glaucoma is one of the major causes of blindness; it is estimated that over 110 million people will be affected by glaucoma worldwide by 2040. Research on glaucoma detection using deep learning technology has been increasing, but the diagnosis of glaucoma in a large population wi...

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Bibliographic Details
Main Authors: Wee Shin Lim, Heng-Yen Ho, Heng-Chen Ho, Yan-Wu Chen, Chih-Kuo Lee, Pao-Ju Chen, Feipei Lai, Jyh-Shing Roger Jang, Mei-Lan Ko
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Medical Imaging
Subjects:
Deep learning
Glaucoma
Multimodal learning model
Ophthalmology
Online Access:https://doi.org/10.1186/s12880-022-00933-z

Internet

https://doi.org/10.1186/s12880-022-00933-z

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