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
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id	my-uitm-ir.82556
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spelling	my-uitm-ir.825562024-03-07T08:49:20Z Visualization of exudates fundus images using radar chart and colour auto correlogram technique for early detection of diabetic retinopathy / Hasliza Abu Hassan 2018 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 https://ir.uitm.edu.my/id/eprint/82556/ https://ir.uitm.edu.my/id/eprint/82556/1/82556.pdf text en public phd doctoral Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Md Tahir, Nooritawati
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Md Tahir, Nooritawati
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
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
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
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2018
url	https://ir.uitm.edu.my/id/eprint/82556/1/82556.pdf
_version_	1794191931563048960

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

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