Boundary Segmentation and Detection of Diabetic Retinopathy (DR) in Fundus Image
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-Mean...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/10646/1/Boundary%20Segmentation%20and%20Detection%20of%20Diabetic%20Retinopathy%20%28DR%29%20in%20Fundus%20Image.pdf http://umpir.ump.edu.my/id/eprint/10646/7/fkee-2015-hasma-Boundary%20Segmentation.pdf |
| _version_ | 1796990834093064192 |
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| author | Nor Rul Hasma, Abdullah M. F. S., Nasarudin M., Mustafa Pebrianti, Dwi Rosdiyana, Samad |
| author_facet | Nor Rul Hasma, Abdullah M. F. S., Nasarudin M., Mustafa Pebrianti, Dwi Rosdiyana, Samad |
| author_sort | Nor Rul Hasma, Abdullah |
| collection | UMP |
| description | 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. |
| first_indexed | 2024-03-06T11:57:25Z |
| format | Conference or Workshop Item |
| id | UMPir10646 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T11:57:25Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | UMPir106462018-04-30T03:02:04Z http://umpir.ump.edu.my/id/eprint/10646/ Boundary Segmentation and Detection of Diabetic Retinopathy (DR) in Fundus Image Nor Rul Hasma, Abdullah M. F. S., Nasarudin M., Mustafa Pebrianti, Dwi Rosdiyana, Samad TK Electrical engineering. Electronics Nuclear engineering 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. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10646/1/Boundary%20Segmentation%20and%20Detection%20of%20Diabetic%20Retinopathy%20%28DR%29%20in%20Fundus%20Image.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/10646/7/fkee-2015-hasma-Boundary%20Segmentation.pdf 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) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Nor Rul Hasma, Abdullah M. F. S., Nasarudin M., Mustafa Pebrianti, Dwi Rosdiyana, Samad Boundary Segmentation and Detection of Diabetic Retinopathy (DR) in Fundus Image |
| title | Boundary Segmentation and Detection of Diabetic Retinopathy (DR) in Fundus Image |
| title_full | Boundary Segmentation and Detection of Diabetic Retinopathy (DR) in Fundus Image |
| title_fullStr | Boundary Segmentation and Detection of Diabetic Retinopathy (DR) in Fundus Image |
| title_full_unstemmed | Boundary Segmentation and Detection of Diabetic Retinopathy (DR) in Fundus Image |
| title_short | Boundary Segmentation and Detection of Diabetic Retinopathy (DR) in Fundus Image |
| title_sort | boundary segmentation and detection of diabetic retinopathy dr in fundus image |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/10646/1/Boundary%20Segmentation%20and%20Detection%20of%20Diabetic%20Retinopathy%20%28DR%29%20in%20Fundus%20Image.pdf http://umpir.ump.edu.my/id/eprint/10646/7/fkee-2015-hasma-Boundary%20Segmentation.pdf |
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