Assisting Glaucoma Screening Process Using Feature Excitation and Information Aggregation Techniques in Retinal Fundus Images

Assisting Glaucoma Screening Process Using Feature Excitation and Information Aggregation Techniques in Retinal Fundus Images

The rapidly increasing trend of retinal diseases needs serious attention, worldwide. Glaucoma is a critical ophthalmic disease that can cause permanent vision impairment. Typically, ophthalmologists diagnose glaucoma using manual assessments which is an error-prone, subjective, and time-consuming ap...

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Bibliographic Details
Main Authors: Ali Raza, Sharjeel Adnan, Muhammad Ishaq, Hyung Seok Kim, Rizwan Ali Naqvi, Seung-Won Lee
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Mathematics
Subjects:
assisting glaucoma screening
convolutional neural network
deep learning
fundus image analysis
information aggregation
Online Access:https://www.mdpi.com/2227-7390/11/2/257

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