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Student Project | Computer Science Engineering | Volume 12 Issue 10, October 2023 | Pages: 417 - 422 | India
A Comprehensive Examination of Glaucoma Detection Methods Utilizing Fundus Images of the Retina: A Review
Abstract: This survey paper aims to provide an overview of the various techniques and methodologies used for glaucoma detection using fundus images of the retina. Glaucoma is a leading cause of irreversible blindness worldwide, and early detection is crucial for effective treatment. Fundus images, which capture the structure of the retina, have become a valuable tool for diagnosing glaucoma. This paper reviews the state-of-the-art techniques, including image processing, machine learning, and deep learning approaches, used for automated glaucoma detection.
Keywords: Glaucoma detection, Fundus images, Retina, Survey, Optic disc, Cup parameters
How to Cite?: Stelin Bercia S, Vijayalakshmi P, "A Comprehensive Examination of Glaucoma Detection Methods Utilizing Fundus Images of the Retina: A Review", Volume 12 Issue 10, October 2023, International Journal of Science and Research (IJSR), Pages: 417-422, https://www.ijsr.net/getabstract.php?paperid=SR231004124223, DOI: https://dx.doi.org/10.21275/SR231004124223