Automated Hypertensive Retinopathy detection using image processing / Muhammad Imran Rahmat

In this day and age, hypertensive has been identified as the major factor for death and is ranked third as a cause of life-years adapted for disability. Hypertensive retinopathy can be observed on the retinal sign, including generalized and focal arteriolar narrowing, arteriovenous nicking, flame-sh...

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Main Author:	Rahmat, Muhammad Imran
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Data processing Computer applications
Online Access:	https://ir.uitm.edu.my/id/eprint/31492/1/31492.pdf
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id	my-uitm-ir.31492
record_format	uketd_dc
spelling	my-uitm-ir.314922020-06-26T04:17:56Z Automated Hypertensive Retinopathy detection using image processing / Muhammad Imran Rahmat 2020 Rahmat, Muhammad Imran Data processing. Computer applications Electronic Computers. Computer Science In this day and age, hypertensive has been identified as the major factor for death and is ranked third as a cause of life-years adapted for disability. Hypertensive retinopathy can be observed on the retinal sign, including generalized and focal arteriolar narrowing, arteriovenous nicking, flame-shaped and blotted-shaped retinal haemorrhages, cotton-wool spots and swelling of the optic disc. Hypertensive retinopathy also relates to a condition of the disease that damages the retinal vascularization of hypertensive patients, leading to vision loss and death. However, there are no early symptoms to many eye diseases. It may be painless, and there may be no vision change until the disease is quite advanced. Hence, early detection is therefore really important to avoid any significant effect to human eyes. An automated hypertensive retinopathy detection prototype will be developed for medical examination in this project. There are three phases of this system which is pre-processing, processing and post processing. Several image processing technique has been use in development of this project. The accuracy of this system is 90.00% and it is developed using MATLAB software. The findings from this study is believed to be helpful as it may contribute in medical image processing field. 2020 Thesis https://ir.uitm.edu.my/id/eprint/31492/ https://ir.uitm.edu.my/id/eprint/31492/1/31492.pdf text en public degree Universiti Teknologi MARA, Cawangan Melaka Faculty of Computer and Mathematical Sciences Abu Mangshor, Nur Nabilah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abu Mangshor, Nur Nabilah
topic	Data processing Computer applications Data processing Computer applications
spellingShingle	Data processing Computer applications Data processing Computer applications Rahmat, Muhammad Imran Automated Hypertensive Retinopathy detection using image processing / Muhammad Imran Rahmat
description	In this day and age, hypertensive has been identified as the major factor for death and is ranked third as a cause of life-years adapted for disability. Hypertensive retinopathy can be observed on the retinal sign, including generalized and focal arteriolar narrowing, arteriovenous nicking, flame-shaped and blotted-shaped retinal haemorrhages, cotton-wool spots and swelling of the optic disc. Hypertensive retinopathy also relates to a condition of the disease that damages the retinal vascularization of hypertensive patients, leading to vision loss and death. However, there are no early symptoms to many eye diseases. It may be painless, and there may be no vision change until the disease is quite advanced. Hence, early detection is therefore really important to avoid any significant effect to human eyes. An automated hypertensive retinopathy detection prototype will be developed for medical examination in this project. There are three phases of this system which is pre-processing, processing and post processing. Several image processing technique has been use in development of this project. The accuracy of this system is 90.00% and it is developed using MATLAB software. The findings from this study is believed to be helpful as it may contribute in medical image processing field.
format	Thesis
qualification_level	Bachelor degree
author	Rahmat, Muhammad Imran
author_facet	Rahmat, Muhammad Imran
author_sort	Rahmat, Muhammad Imran
title	Automated Hypertensive Retinopathy detection using image processing / Muhammad Imran Rahmat
title_short	Automated Hypertensive Retinopathy detection using image processing / Muhammad Imran Rahmat
title_full	Automated Hypertensive Retinopathy detection using image processing / Muhammad Imran Rahmat
title_fullStr	Automated Hypertensive Retinopathy detection using image processing / Muhammad Imran Rahmat
title_full_unstemmed	Automated Hypertensive Retinopathy detection using image processing / Muhammad Imran Rahmat
title_sort	automated hypertensive retinopathy detection using image processing / muhammad imran rahmat
granting_institution	Universiti Teknologi MARA, Cawangan Melaka
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/31492/1/31492.pdf
_version_	1783734123102208000

Automated Hypertensive Retinopathy detection using image processing / Muhammad Imran Rahmat

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