Cover Image

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
https://ir.uitm.edu.my/id/eprint/89351/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.89351
record_format eprints
spelling my.uitm.ir.893512024-01-17T07:39:30Z https://ir.uitm.edu.my/id/eprint/89351/ Automated detection of lung lesions in computed tomography images using image processing techniques and intelligent system / Mohd Firdaus Abdullah 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/89351/2/89351.pdf Automated detection of lung lesions in computed tomography images using image processing techniques and intelligent system / Mohd Firdaus Abdullah. (2023) PhD thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/89351.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
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
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
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/89351/2/89351.pdf
https://ir.uitm.edu.my/id/eprint/89351/
_version_ 1789429268051132416
score 13.211869

Similar Items