Nor Rul Hasma, Abdullah and M. F. S., Nasarudin and M., Mustafa and Pebrianti, Dwi and Rosdiyana, Samad (2015) Boundary Segmentation and Detection of Diabetic Retinopathy (DR) in Fundus Image. In: Medical Engineering Conference 2015 , 22-23 August 2015 , Johor Bahru. pp. 1-4.. (In Press / Online First)
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Abstract
Recently, the automatic detection system or Computer-Aided Detection (CAD) is widely developed in the medical field to screen or diagnose the medical image. This paper presents the boundary segmentation and detection of Diabetic Retinopathy (DR) in fundus image. The proposed method uses Fuzzy C-Means for clustering and detect the boundary of the DR object. The number of cluster used in this work is 3 and the average number of iterations is 28.The DR region is successfully detected by FCM and the average processing time is 1.235s.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Uncontrolled Keywords: | segmentation, diabetic retinopathy, fundus image, Fuzzy C-Means |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 05 Nov 2015 07:46 |
| Last Modified: | 30 Apr 2018 03:02 |
| URI: | http://umpir.ump.edu.my/id/eprint/10646 |
| Download Statistic: | View Download Statistics |
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