Retinal Microaneursym Detection using Maximally Stable External Region Algorithm
| Autor: | Diana Tri Susetianingtias, Sarifuddin Madenda, Rodiah, Dewi Agushinta Rahayu |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Microaneurysm
Retina General Computer Science Blindness business.industry Fundus image General Engineering Retinal Diabetic retinopathy medicine.disease chemistry.chemical_compound medicine.anatomical_structure chemistry medicine General Agricultural and Biological Sciences business Algorithm Blood vessel Retinopathy |
| Zdroj: | International Journal on Advanced Science, Engineering and Information Technology. 6:644 |
| ISSN: | 2460-6952 2088-5334 |
| DOI: | 10.18517/ijaseit.6.5.883 |
| Popis: | The growth of diabetics’ worldwide increased drastically. Diabetic can cause blindness due to retinopathy diabetic. Often the patients of retinopathy diabetic do not experience the sign and the symptoms at early stage of their symptoms, even in the severe stages where the bleeding start to occur. One indicator of patients that has diabetic retinopathy can be seen from the blood vessel that experienced microaneurysm and hemorrhage due to a swelling blood vessels in the retina. The study in this paper will implement the Maximally Stable External Region (MSER) algorithm to detect microaneursym. Microaneursym is one of the main indicators that causes retinopathy diabetic. This study uses HRF dataset. The results are expected to improve the accuracy microaneursym detection. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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