Glaucotrack: Intelligent Eye Health Screening Using Machine Learning
Year: 2025
Type: article
Abstract: Glaucoma is generally a chronic and cumulative optic nerve impairment characterized by the deterioration of the Retinal Ganglionic and their nerve fibers. It is the second most significant cause of eye blindness. The Fund-us Camera is a kind of Modern Visualization Tool used to scrutinize the Anatomy of an eye to determine theglaucoma impairment. The appearance of the optic Cup occupies a prominent role. The cup augments with theextension of glaucoma occupying most of the disc space. The manual examination of the Optic disc and Optic Cup is time-consuming. Also, the disease is often asymptomatic in its early stages, making it complicated to detect glaucoma through Ophthalmic examination. However, the Schema Objects apply a distinct basis for the binary classification of Glaucomatous and Non - Glaucomatous images. To diagnose the same, the proposed model in this scheme algorithm is sufficient to identify glaucoma by achieving a validation accuracy of 80%.
Author: Abdul Majid, Vishwas T R, Suhas M R, Usha R, Mrs.Vinutha M
Language: English
Topic: Retinal Imaging and Analysis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6912118956
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