Automated microaneurysm detection algorithms applied to diabetic retinopathy retinal images
Diabetic retinopathy is the commonest cause of blindness in working age people. It is characterised and graded by the development of retinal microaneurysms, haemorrhages and exudates. The damage caused by diabetic retinopathy can be prevented if it is treated in its early stages. Therefore, automate...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Maejo University
2013-07-01
|
| Series: | Maejo International Journal of Science and Technology |
| Subjects: | |
| Online Access: | http://www.mijst.mju.ac.th/vol7/294-314.pdf |
| _version_ | 1819141472430063616 |
|---|---|
| author | Akara Sopharak |
| author_facet | Akara Sopharak |
| author_sort | Akara Sopharak |
| collection | DOAJ |
| description | Diabetic retinopathy is the commonest cause of blindness in working age people. It is characterised and graded by the development of retinal microaneurysms, haemorrhages and exudates. The damage caused by diabetic retinopathy can be prevented if it is treated in its early stages. Therefore, automated early detection can limit the severity of the disease, improve the follow-up management of diabetic patients and assist ophthalmologists in investigating and treating the disease more efficiently. This review focuses on microaneurysm detection as the earliest clinically localised characteristic of diabetic retinopathy, a frequently observed complication in both Type 1 and Type 2 diabetes. Algorithms used for microaneurysm detection from retinal images are reviewed. A number of features used to extract microaneurysm are summarised. Furthermore, a comparative analysis of reported methods used to automatically detect microaneurysms is presented and discussed. The performance of methods and their complexity are also discussed. |
| first_indexed | 2024-12-22T11:55:00Z |
| format | Article |
| id | doaj.art-35df1a462f154149afa1d291678980bd |
| institution | Directory Open Access Journal |
| issn | 1905-7873 |
| language | English |
| last_indexed | 2024-12-22T11:55:00Z |
| publishDate | 2013-07-01 |
| publisher | Maejo University |
| record_format | Article |
| series | Maejo International Journal of Science and Technology |
| spelling | doaj.art-35df1a462f154149afa1d291678980bd2022-12-21T18:26:52ZengMaejo UniversityMaejo International Journal of Science and Technology1905-78732013-07-01702294314Automated microaneurysm detection algorithms applied to diabetic retinopathy retinal imagesAkara SopharakDiabetic retinopathy is the commonest cause of blindness in working age people. It is characterised and graded by the development of retinal microaneurysms, haemorrhages and exudates. The damage caused by diabetic retinopathy can be prevented if it is treated in its early stages. Therefore, automated early detection can limit the severity of the disease, improve the follow-up management of diabetic patients and assist ophthalmologists in investigating and treating the disease more efficiently. This review focuses on microaneurysm detection as the earliest clinically localised characteristic of diabetic retinopathy, a frequently observed complication in both Type 1 and Type 2 diabetes. Algorithms used for microaneurysm detection from retinal images are reviewed. A number of features used to extract microaneurysm are summarised. Furthermore, a comparative analysis of reported methods used to automatically detect microaneurysms is presented and discussed. The performance of methods and their complexity are also discussed.http://www.mijst.mju.ac.th/vol7/294-314.pdfmicroaneurysmdiabetic retinopathyretinal imageautomated detection |
| spellingShingle | Akara Sopharak Automated microaneurysm detection algorithms applied to diabetic retinopathy retinal images Maejo International Journal of Science and Technology microaneurysm diabetic retinopathy retinal image automated detection |
| title | Automated microaneurysm detection algorithms applied to diabetic retinopathy retinal images |
| title_full | Automated microaneurysm detection algorithms applied to diabetic retinopathy retinal images |
| title_fullStr | Automated microaneurysm detection algorithms applied to diabetic retinopathy retinal images |
| title_full_unstemmed | Automated microaneurysm detection algorithms applied to diabetic retinopathy retinal images |
| title_short | Automated microaneurysm detection algorithms applied to diabetic retinopathy retinal images |
| title_sort | automated microaneurysm detection algorithms applied to diabetic retinopathy retinal images |
| topic | microaneurysm diabetic retinopathy retinal image automated detection |
| url | http://www.mijst.mju.ac.th/vol7/294-314.pdf |
| work_keys_str_mv | AT akarasopharak automatedmicroaneurysmdetectionalgorithmsappliedtodiabeticretinopathyretinalimages |