Retinal Fundus Image Analysis for Diagnosis of Glaucoma: A Comprehensive Survey
The rapid development of digital imaging and computer vision has increased the potential of using the image processing technologies in ophthalmology. Image processing systems are used in standard clinical practices with the development of medical diagnostic systems. The retinal images provide vital...
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| Format: | Article |
| Language: | English |
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IEEE
2016-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/7536180/ |
| _version_ | 1819158892518572032 |
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| author | M. Caroline Viola Stella Mary Elijah Blessing Rajsingh Ganesh R. Naik |
| author_facet | M. Caroline Viola Stella Mary Elijah Blessing Rajsingh Ganesh R. Naik |
| author_sort | M. Caroline Viola Stella Mary |
| collection | DOAJ |
| description | The rapid development of digital imaging and computer vision has increased the potential of using the image processing technologies in ophthalmology. Image processing systems are used in standard clinical practices with the development of medical diagnostic systems. The retinal images provide vital information about the health of the sensory part of the visual system. Retinal diseases, such as glaucoma, diabetic retinopathy, age-related macular degeneration, Stargardt's disease, and retinopathy of prematurity, can lead to blindness manifest as artifacts in the retinal image. An automated system can be used for offering standardized large-scale screening at a lower cost, which may reduce human errors, provide services to remote areas, as well as free from observer bias and fatigue. Treatment for retinal diseases is available; the challenge lies in finding a cost-effective approach with high sensitivity and specificity that can be applied to large populations in a timely manner to identify those who are at risk at the early stages of the disease. The progress of the glaucoma disease is very often quiet in the early stages. The number of people affected has been increasing and patients are seldom aware of the disease, which can cause delay in the treatment. A review of how computer-aided approaches may be applied in the diagnosis and staging of glaucoma is discussed here. The current status of the computer technology is reviewed, covering localization and segmentation of the optic nerve head, pixel level glaucomatic changes, diagonosis using 3-D data sets, and artificial neural networks for detecting the progression of the glaucoma disease. |
| first_indexed | 2024-12-22T16:31:53Z |
| format | Article |
| id | doaj.art-93660b3240e3459cbcdcac981917e18e |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T16:31:53Z |
| publishDate | 2016-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-93660b3240e3459cbcdcac981917e18e2022-12-21T18:20:03ZengIEEEIEEE Access2169-35362016-01-0144327435410.1109/ACCESS.2016.25967617536180Retinal Fundus Image Analysis for Diagnosis of Glaucoma: A Comprehensive SurveyM. Caroline Viola Stella Mary0https://orcid.org/0000-0002-2711-1451Elijah Blessing Rajsingh1Ganesh R. Naik2https://orcid.org/0000-0003-1790-9838Department of Information Technology, Francis Xavier Engineering College, Tirunelveli, IndiaSchool of Computer Science and Technology, Karunya University, Coimbatore, IndiaFaculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, AustraliaThe rapid development of digital imaging and computer vision has increased the potential of using the image processing technologies in ophthalmology. Image processing systems are used in standard clinical practices with the development of medical diagnostic systems. The retinal images provide vital information about the health of the sensory part of the visual system. Retinal diseases, such as glaucoma, diabetic retinopathy, age-related macular degeneration, Stargardt's disease, and retinopathy of prematurity, can lead to blindness manifest as artifacts in the retinal image. An automated system can be used for offering standardized large-scale screening at a lower cost, which may reduce human errors, provide services to remote areas, as well as free from observer bias and fatigue. Treatment for retinal diseases is available; the challenge lies in finding a cost-effective approach with high sensitivity and specificity that can be applied to large populations in a timely manner to identify those who are at risk at the early stages of the disease. The progress of the glaucoma disease is very often quiet in the early stages. The number of people affected has been increasing and patients are seldom aware of the disease, which can cause delay in the treatment. A review of how computer-aided approaches may be applied in the diagnosis and staging of glaucoma is discussed here. The current status of the computer technology is reviewed, covering localization and segmentation of the optic nerve head, pixel level glaucomatic changes, diagonosis using 3-D data sets, and artificial neural networks for detecting the progression of the glaucoma disease.https://ieeexplore.ieee.org/document/7536180/Glaucomaage-related macular degenerationStargardt's diseasediabetic retinopathyfundus image |
| spellingShingle | M. Caroline Viola Stella Mary Elijah Blessing Rajsingh Ganesh R. Naik Retinal Fundus Image Analysis for Diagnosis of Glaucoma: A Comprehensive Survey IEEE Access Glaucoma age-related macular degeneration Stargardt's disease diabetic retinopathy fundus image |
| title | Retinal Fundus Image Analysis for Diagnosis of Glaucoma: A Comprehensive Survey |
| title_full | Retinal Fundus Image Analysis for Diagnosis of Glaucoma: A Comprehensive Survey |
| title_fullStr | Retinal Fundus Image Analysis for Diagnosis of Glaucoma: A Comprehensive Survey |
| title_full_unstemmed | Retinal Fundus Image Analysis for Diagnosis of Glaucoma: A Comprehensive Survey |
| title_short | Retinal Fundus Image Analysis for Diagnosis of Glaucoma: A Comprehensive Survey |
| title_sort | retinal fundus image analysis for diagnosis of glaucoma a comprehensive survey |
| topic | Glaucoma age-related macular degeneration Stargardt's disease diabetic retinopathy fundus image |
| url | https://ieeexplore.ieee.org/document/7536180/ |
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