Survey on diagnosis of diseases from retinal images

Retina is a thin membranous layer of tissue that occupies at the back of the eye which provides central vision needed for daily routines. Identifying retinal diseases at the early stage is a challenging task since healthy retina is required for central vision. Several retinal diseases affect the eye...

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Bibliographic Details
Main Authors: Das, Sneha, Malathy, C
Format: Conference Proceeding
Language:English
Subjects:
Diagnosis
Eye diseases
Glaucoma
Machine learning
Medical imaging
Physics
Retina
Retinal images
Vision
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Summary:Retina is a thin membranous layer of tissue that occupies at the back of the eye which provides central vision needed for daily routines. Identifying retinal diseases at the early stage is a challenging task since healthy retina is required for central vision. Several retinal diseases affect the eye such as retinal tear, retinal detachment, glaucoma, macular hole and macular degeneration etc. These maladies will encounter a secondary growth in the close future as the age of the person increases. A survey is made which tells about the diagnosis of the retinal diseases from the retinal images using machine learning techniques.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1000/1/012053