Making every microaneurysm count: A hybrid approach to monitor progression of diabetic retinopathy
Previous studies have shown that the progression of diabetic retinopathy (DR) can be monitored by counting the number of microaneurysms (MAs). In this work, we propose an approach to maximize the sensitivity of MA detection by using a combination of two different techniques, namely local thresholdin...
| Main Authors: | Ali, S.S.A., Tang, T.B., Laude, A., Faye, I. |
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| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.32130 / |
| Published: |
IEEE Computer Society
2014
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906342273&doi=10.1109%2fICIAS.2014.6869472&partnerID=40&md5=a910f7a6732c6c9df0544cab4ac5a100 http://eprints.utp.edu.my/32130/ |
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| Summary: |
Previous studies have shown that the progression of diabetic retinopathy (DR) can be monitored by counting the number of microaneurysms (MAs). In this work, we propose an approach to maximize the sensitivity of MA detection by using a combination of two different techniques, namely local thresholding and Canny edge detection. The proposed approach was evaluated with publically available dataset DIARETDB1 where ten fundus images containing a total of 315 MAs were randomly selected. Out of these, the proposed approach was able to detect 295 MAs, achieving a sensitivity of 93.65. Limiting factors were identified to be noise filtering, presence of artifacts and dark-shaded retinal vessels. © 2014 IEEE. |
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