Title: A methodological review on computer aided diagnosis of glaucoma in fundus images

Authors: Sumaiya Pathan; Preetham Kumar; Radhika M. Pai

Addresses: Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, India ' Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, India ' Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, India

Abstract: Advances in computerised image analysis and retinal imaging modalities have significantly contributed towards the growth of image-based diagnosis. Glaucoma is an ocular disorder which results in irreversible vision loss. The progression of glaucoma is quiet and in early stages does not show any symptoms. Vision loss due to glaucoma has been significantly increasing compared to other retinal disorders. The reliability in diagnosis of glaucoma is limited to the experience and domain knowledge of the ophthalmologist. A computer-based diagnostic system can be developed using image processing algorithms for screening large population at less cost, reducing human errors and thus making the diagnosis more objective. A review of the state-of-art methodologies employed for developing a computer aided diagnosis of glaucoma using retinal fundus image is addressed in this paper along with the future trends.

Keywords: classification; cup-to-disk ratio; CDR; glaucoma; optic disk; OD; optic cup; OC; segmentation.

DOI: 10.1504/IJBET.2021.119927

International Journal of Biomedical Engineering and Technology, 2021 Vol.37 No.3, pp.239 - 274

Received: 30 May 2018
Accepted: 26 Oct 2018
Published online: 04 Jan 2022 *

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