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Visualization of exudates fundus images using radar chart and colour auto correlogram technique for early detection of diabetic retinopathy / Hasliza Abu Hassan

According to World Health Organisation (WHO) statistics in 2011, about 175 million people at present are with diabetes mellitus and it will increase to 366 million by 2030. Currently, there are several tests that have been used to early detect diabetes disease and these tests are difficult and hard...

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Main Author: Abu Hassan, Hasliza
Format: Thesis
Language:English
Published: 2018
Subjects:
Medical technology
Online Access:https://ir.uitm.edu.my/id/eprint/82556/1/82556.pdf
https://ir.uitm.edu.my/id/eprint/82556/
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spelling my.uitm.ir.825562024-03-07T08:49:20Z https://ir.uitm.edu.my/id/eprint/82556/ Visualization of exudates fundus images using radar chart and colour auto correlogram technique for early detection of diabetic retinopathy / Hasliza Abu Hassan Abu Hassan, Hasliza Medical technology According to World Health Organisation (WHO) statistics in 2011, about 175 million people at present are with diabetes mellitus and it will increase to 366 million by 2030. Currently, there are several tests that have been used to early detect diabetes disease and these tests are difficult and hard on patients and can result in nausea. The alternative way to make it easy on patients is by analyzing the fundus image of retina to early detect or controlling the diabetes disease. Hence in this research, visualization of exudates in fundus images using Color Auto Correlogram (CAC) technique and radar chart for early detection of Diabetic Retinopathy (DR) is proposed. The method consists of capturing several key features of the CAC extracted from fundus images and plotting these features in the form of radar chart. The method is centred on the detection and removal of exudates from the original fundus image, then comparing the CAC features of the original image with the exudate removed from the image. If exudates are present, the CAC exhibits significantly different features which can be easily distinguished using the radar chart. A total of 149 fundus images from the publicly available MESSIDOR databases were used as database in this study. 2018 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/82556/1/82556.pdf Visualization of exudates fundus images using radar chart and colour auto correlogram technique for early detection of diabetic retinopathy / Hasliza Abu Hassan. (2018) PhD thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/82556.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Medical technology
spellingShingle Medical technology
Abu Hassan, Hasliza
Visualization of exudates fundus images using radar chart and colour auto correlogram technique for early detection of diabetic retinopathy / Hasliza Abu Hassan
description According to World Health Organisation (WHO) statistics in 2011, about 175 million people at present are with diabetes mellitus and it will increase to 366 million by 2030. Currently, there are several tests that have been used to early detect diabetes disease and these tests are difficult and hard on patients and can result in nausea. The alternative way to make it easy on patients is by analyzing the fundus image of retina to early detect or controlling the diabetes disease. Hence in this research, visualization of exudates in fundus images using Color Auto Correlogram (CAC) technique and radar chart for early detection of Diabetic Retinopathy (DR) is proposed. The method consists of capturing several key features of the CAC extracted from fundus images and plotting these features in the form of radar chart. The method is centred on the detection and removal of exudates from the original fundus image, then comparing the CAC features of the original image with the exudate removed from the image. If exudates are present, the CAC exhibits significantly different features which can be easily distinguished using the radar chart. A total of 149 fundus images from the publicly available MESSIDOR databases were used as database in this study.
format Thesis
author Abu Hassan, Hasliza
author_facet Abu Hassan, Hasliza
author_sort Abu Hassan, Hasliza
title Visualization of exudates fundus images using radar chart and colour auto correlogram technique for early detection of diabetic retinopathy / Hasliza Abu Hassan
title_short Visualization of exudates fundus images using radar chart and colour auto correlogram technique for early detection of diabetic retinopathy / Hasliza Abu Hassan
title_full Visualization of exudates fundus images using radar chart and colour auto correlogram technique for early detection of diabetic retinopathy / Hasliza Abu Hassan
title_fullStr Visualization of exudates fundus images using radar chart and colour auto correlogram technique for early detection of diabetic retinopathy / Hasliza Abu Hassan
title_full_unstemmed Visualization of exudates fundus images using radar chart and colour auto correlogram technique for early detection of diabetic retinopathy / Hasliza Abu Hassan
title_sort visualization of exudates fundus images using radar chart and colour auto correlogram technique for early detection of diabetic retinopathy / hasliza abu hassan
publishDate 2018
url https://ir.uitm.edu.my/id/eprint/82556/1/82556.pdf
https://ir.uitm.edu.my/id/eprint/82556/
_version_ 1793161833218048000
score 13.211869

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