Preprocessing of fundus images for detection of diabetic retinopathy / Nurhakimah Abd Aziz … [et al.]
In recent years, the lesions detection in fundus image become popular area of research in machine learning. The detection of symptoms in fundus image is typically used in diseases that related to eyes such as diabetic retinopathy where the main symptom is exudates. Symptom detection in fundus image...
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Universiti Teknologi MARA
2021
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my.uitm.ir.520822021-10-08T02:07:11Z https://ir.uitm.edu.my/id/eprint/52082/ Preprocessing of fundus images for detection of diabetic retinopathy / Nurhakimah Abd Aziz … [et al.] Abd Aziz, Nurhakimah Sulaiman, Mohd Azman Hanif Mohd Yassin, Ahmad Ihsan Megat Ali, Megat Syahirul Amin Abu Hassan, Hasliza M.Shafie, Suraiya Zabidi, Azlee Eskandari, Farzad Radio frequency identification systems Scanning systems In recent years, the lesions detection in fundus image become popular area of research in machine learning. The detection of symptoms in fundus image is typically used in diseases that related to eyes such as diabetic retinopathy where the main symptom is exudates. Symptom detection in fundus image depends on many factor. The common factors are varying contrast condition and the large size of the fundus image that will affect the training process for object detection. Furthermore, color similarity of the features in fundus image and the symptoms also one of the factor, for example the similarity between optics disc and exudates. In this paper, we discuss the different preprocessing stage in order to improve the quality of fundus image to mark the optic disc location for detection of optic disc in future work. We have used several datasets namely Kaggle, DIARETDB1 and DRIMDB datasets in this study. The results that we have achieved in SSIM value, clearly shows that the preprocessing was able to increase the image quality. Universiti Teknologi MARA 2021-10 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/52082/1/52082.pdf ID52082 Abd Aziz, Nurhakimah and Sulaiman, Mohd Azman Hanif and Mohd Yassin, Ahmad Ihsan and Megat Ali, Megat Syahirul Amin and Abu Hassan, Hasliza and M.Shafie, Suraiya and Zabidi, Azlee and Eskandari, Farzad (2021) Preprocessing of fundus images for detection of diabetic retinopathy / Nurhakimah Abd Aziz … [et al.]. Journal of Electrical and Electronic Systems Research (JEESR), 19: 8. pp. 149-156. ISSN 1985-5389 https://jeesr.uitm.edu.my/ |
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Radio frequency identification systems Scanning systems Abd Aziz, Nurhakimah Sulaiman, Mohd Azman Hanif Mohd Yassin, Ahmad Ihsan Megat Ali, Megat Syahirul Amin Abu Hassan, Hasliza M.Shafie, Suraiya Zabidi, Azlee Eskandari, Farzad Preprocessing of fundus images for detection of diabetic retinopathy / Nurhakimah Abd Aziz … [et al.] |
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In recent years, the lesions detection in fundus image become popular area of research in machine learning. The detection of symptoms in fundus image is typically used in diseases that related to eyes such as diabetic retinopathy where the main symptom is exudates. Symptom detection in fundus image depends on many factor. The common factors are varying contrast condition and the large size of the fundus image that will affect the training process for object detection. Furthermore, color similarity of the features in fundus image and the symptoms also one of the factor, for example the similarity between optics disc and exudates. In this paper, we discuss the different preprocessing stage in order to improve the quality of fundus image to mark the optic disc location for detection of optic disc in future work. We have used several datasets namely Kaggle, DIARETDB1 and DRIMDB datasets in this study. The results that we have achieved in SSIM value, clearly shows that the preprocessing was able to increase the image quality. |
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Abd Aziz, Nurhakimah Sulaiman, Mohd Azman Hanif Mohd Yassin, Ahmad Ihsan Megat Ali, Megat Syahirul Amin Abu Hassan, Hasliza M.Shafie, Suraiya Zabidi, Azlee Eskandari, Farzad |
author_facet |
Abd Aziz, Nurhakimah Sulaiman, Mohd Azman Hanif Mohd Yassin, Ahmad Ihsan Megat Ali, Megat Syahirul Amin Abu Hassan, Hasliza M.Shafie, Suraiya Zabidi, Azlee Eskandari, Farzad |
author_sort |
Abd Aziz, Nurhakimah |
title |
Preprocessing of fundus images for detection of diabetic retinopathy / Nurhakimah Abd Aziz … [et al.] |
title_short |
Preprocessing of fundus images for detection of diabetic retinopathy / Nurhakimah Abd Aziz … [et al.] |
title_full |
Preprocessing of fundus images for detection of diabetic retinopathy / Nurhakimah Abd Aziz … [et al.] |
title_fullStr |
Preprocessing of fundus images for detection of diabetic retinopathy / Nurhakimah Abd Aziz … [et al.] |
title_full_unstemmed |
Preprocessing of fundus images for detection of diabetic retinopathy / Nurhakimah Abd Aziz … [et al.] |
title_sort |
preprocessing of fundus images for detection of diabetic retinopathy / nurhakimah abd aziz … [et al.] |
publisher |
Universiti Teknologi MARA |
publishDate |
2021 |
url |
https://ir.uitm.edu.my/id/eprint/52082/1/52082.pdf https://ir.uitm.edu.my/id/eprint/52082/ https://jeesr.uitm.edu.my/ |
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13.18916 |