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

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.

Automated summary

Advances in computerized image analysis and retinal imaging have greatly contributed to the growth of image-based diagnosis, especially in the case of glaucoma, an ocular disorder that results in irreversible vision loss. While early stages of glaucoma may not show symptoms, computer-based diagnostic systems using image processing algorithms offer a more objective and cost-effective way to screen large populations and reduce human errors in diagnosis.