Automated detection of lung lesions in computed tomography images using image processing techniques and intelligent system / Mohd Firdaus Abdullah

Lung cancer is a common cause of death among people throughout the world. Lung cancer detection can be done in several ways, such as Radiography, Magnetic Resonance Imaging (MRI) and Computed Tomography (CT). Based on this method CT is suitable for lung cancer detection, that offers a lower cost, sh...

Full description

Saved in:

Bibliographic Details
Main Author:	Abdullah, Mohd Firdaus
Format:	Thesis
Language:	English
Published:	2023
Online Access:	https://ir.uitm.edu.my/id/eprint/89351/2/89351.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.89351
record_format	uketd_dc
spelling	my-uitm-ir.893512024-01-17T07:39:30Z Automated detection of lung lesions in computed tomography images using image processing techniques and intelligent system / Mohd Firdaus Abdullah 2023 Abdullah, Mohd Firdaus Lung cancer is a common cause of death among people throughout the world. Lung cancer detection can be done in several ways, such as Radiography, Magnetic Resonance Imaging (MRI) and Computed Tomography (CT). Based on this method CT is suitable for lung cancer detection, that offers a lower cost, short imaging time and widespread availability. Early detection of lung lesion is important for clinical analysis on effective prevention planning by medical authorities to reduce the number of mortalities. Lesion identification on CT images manually identified by experienced radiologists commonly uses visual score. However, the manual method is timeconsuming, tedious, labour-intensive and intervisibility. Recently, research on fully automated lung lesion identification that aims to overcome the problems of manual delineation has attracted a lot of attention. 2023 Thesis https://ir.uitm.edu.my/id/eprint/89351/ https://ir.uitm.edu.my/id/eprint/89351/2/89351.pdf text en public phd doctoral Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Sulaiman, Siti Noraini (Assoc Prof Ir. Ts. Dr.)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Sulaiman, Siti Noraini (Assoc Prof Ir. Ts. Dr.)
description	Lung cancer is a common cause of death among people throughout the world. Lung cancer detection can be done in several ways, such as Radiography, Magnetic Resonance Imaging (MRI) and Computed Tomography (CT). Based on this method CT is suitable for lung cancer detection, that offers a lower cost, short imaging time and widespread availability. Early detection of lung lesion is important for clinical analysis on effective prevention planning by medical authorities to reduce the number of mortalities. Lesion identification on CT images manually identified by experienced radiologists commonly uses visual score. However, the manual method is timeconsuming, tedious, labour-intensive and intervisibility. Recently, research on fully automated lung lesion identification that aims to overcome the problems of manual delineation has attracted a lot of attention.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Abdullah, Mohd Firdaus
spellingShingle	Abdullah, Mohd Firdaus Automated detection of lung lesions in computed tomography images using image processing techniques and intelligent system / Mohd Firdaus Abdullah
author_facet	Abdullah, Mohd Firdaus
author_sort	Abdullah, Mohd Firdaus
title	Automated detection of lung lesions in computed tomography images using image processing techniques and intelligent system / Mohd Firdaus Abdullah
title_short	Automated detection of lung lesions in computed tomography images using image processing techniques and intelligent system / Mohd Firdaus Abdullah
title_full	Automated detection of lung lesions in computed tomography images using image processing techniques and intelligent system / Mohd Firdaus Abdullah
title_fullStr	Automated detection of lung lesions in computed tomography images using image processing techniques and intelligent system / Mohd Firdaus Abdullah
title_full_unstemmed	Automated detection of lung lesions in computed tomography images using image processing techniques and intelligent system / Mohd Firdaus Abdullah
title_sort	automated detection of lung lesions in computed tomography images using image processing techniques and intelligent system / mohd firdaus abdullah
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2023
url	https://ir.uitm.edu.my/id/eprint/89351/2/89351.pdf
_version_	1794192215044521984

Automated detection of lung lesions in computed tomography images using image processing techniques and intelligent system / Mohd Firdaus Abdullah

Similar Items