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Automated microaneurysm detection algorithms applied to diabetic retinopathy retinal images |
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| รหัสดีโอไอ | |
| Creator | 1. Akara Sopharak 2. Bunyarit Uyyanonvara 3. Sarah Barman |
| Title | Automated microaneurysm detection algorithms applied to diabetic retinopathy retinal images |
| Publisher | Maejo University |
| Publication Year | 2556 |
| Journal Title | Maejo International Journal of Science and Technology |
| Journal Vol. | 7 |
| Journal No. | 2 |
| Page no. | 294 |
| Keyword | microaneurysm,diabetic retinopathy,retinal image,automated detection |
| ISSN | 1905-7873 |
| Abstract | 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. |
