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Demarcation of lung lobes in ct scan images for lung cancer detection using watershed segmentation / Siti Noraini Sulaiman ... [et al.]

Lung cancer is one of the dangerous and life-threatening cancer diseases in the world. The most common ways to detect lung cancer is by using the Computed Tomography (CT) image. Nowadays, Computed Aided Diagnosis (CAD) is becoming more prominent. In medical applications, the CAD system is adopted to...

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Main Authors: Sulaiman, Siti Noraini, Mohd Marzuki, Nur Najihah Sofea, A. Karim, Noor Khairiah, Abdullah, Mohd Firdaus, Shuaib, Ibrahim Lutfi, Isa, Iza Sazanita
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
Medical technology
Computer applications to medicine. Medical informatics
T Technology (General)
Online Access:https://ir.uitm.edu.my/id/eprint/69746/1/69746.pdf
https://ir.uitm.edu.my/id/eprint/69746/
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spelling my.uitm.ir.697462022-11-17T04:38:36Z https://ir.uitm.edu.my/id/eprint/69746/ Demarcation of lung lobes in ct scan images for lung cancer detection using watershed segmentation / Siti Noraini Sulaiman ... [et al.] Sulaiman, Siti Noraini Mohd Marzuki, Nur Najihah Sofea A. Karim, Noor Khairiah Abdullah, Mohd Firdaus Shuaib, Ibrahim Lutfi Isa, Iza Sazanita Medical technology Computer applications to medicine. Medical informatics T Technology (General) Lung cancer is one of the dangerous and life-threatening cancer diseases in the world. The most common ways to detect lung cancer is by using the Computed Tomography (CT) image. Nowadays, Computed Aided Diagnosis (CAD) is becoming more prominent. In medical applications, the CAD system is adopted to help doctors to perform an image analysis and make their final decisions. Therefore, the main aim of this research is to establish an image processing method for the segmentation of lung cancer from CT scan images. To achieve the main aims, the work is divided into two parts, first is obtaining the lung region from CT scan images and second is detecting the lesion of lung cancer. This paper will present the outcome of the first part. Firstly, the image will undergo the threshold, clustering, and image filtering as well as the enhancement process to get better and clearer lung area images. Next, is the segmentation stage where modified watershed is used to demarcate the lung region from the CT scan images. The outcome of this research is very helpful for the doctor to determine later the type of treatment that should be provided to the patient. 2020 Conference or Workshop Item PeerReviewed text en https://ir.uitm.edu.my/id/eprint/69746/1/69746.pdf Demarcation of lung lobes in ct scan images for lung cancer detection using watershed segmentation / Siti Noraini Sulaiman ... [et al.]. (2020) In: UNSPECIFIED.
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
Computer applications to medicine. Medical informatics
T Technology (General)
spellingShingle Medical technology
Computer applications to medicine. Medical informatics
T Technology (General)
Sulaiman, Siti Noraini
Mohd Marzuki, Nur Najihah Sofea
A. Karim, Noor Khairiah
Abdullah, Mohd Firdaus
Shuaib, Ibrahim Lutfi
Isa, Iza Sazanita
Demarcation of lung lobes in ct scan images for lung cancer detection using watershed segmentation / Siti Noraini Sulaiman ... [et al.]
description Lung cancer is one of the dangerous and life-threatening cancer diseases in the world. The most common ways to detect lung cancer is by using the Computed Tomography (CT) image. Nowadays, Computed Aided Diagnosis (CAD) is becoming more prominent. In medical applications, the CAD system is adopted to help doctors to perform an image analysis and make their final decisions. Therefore, the main aim of this research is to establish an image processing method for the segmentation of lung cancer from CT scan images. To achieve the main aims, the work is divided into two parts, first is obtaining the lung region from CT scan images and second is detecting the lesion of lung cancer. This paper will present the outcome of the first part. Firstly, the image will undergo the threshold, clustering, and image filtering as well as the enhancement process to get better and clearer lung area images. Next, is the segmentation stage where modified watershed is used to demarcate the lung region from the CT scan images. The outcome of this research is very helpful for the doctor to determine later the type of treatment that should be provided to the patient.
format Conference or Workshop Item
author Sulaiman, Siti Noraini
Mohd Marzuki, Nur Najihah Sofea
A. Karim, Noor Khairiah
Abdullah, Mohd Firdaus
Shuaib, Ibrahim Lutfi
Isa, Iza Sazanita
author_facet Sulaiman, Siti Noraini
Mohd Marzuki, Nur Najihah Sofea
A. Karim, Noor Khairiah
Abdullah, Mohd Firdaus
Shuaib, Ibrahim Lutfi
Isa, Iza Sazanita
author_sort Sulaiman, Siti Noraini
title Demarcation of lung lobes in ct scan images for lung cancer detection using watershed segmentation / Siti Noraini Sulaiman ... [et al.]
title_short Demarcation of lung lobes in ct scan images for lung cancer detection using watershed segmentation / Siti Noraini Sulaiman ... [et al.]
title_full Demarcation of lung lobes in ct scan images for lung cancer detection using watershed segmentation / Siti Noraini Sulaiman ... [et al.]
title_fullStr Demarcation of lung lobes in ct scan images for lung cancer detection using watershed segmentation / Siti Noraini Sulaiman ... [et al.]
title_full_unstemmed Demarcation of lung lobes in ct scan images for lung cancer detection using watershed segmentation / Siti Noraini Sulaiman ... [et al.]
title_sort demarcation of lung lobes in ct scan images for lung cancer detection using watershed segmentation / siti noraini sulaiman ... [et al.]
publishDate 2020
url https://ir.uitm.edu.my/id/eprint/69746/1/69746.pdf
https://ir.uitm.edu.my/id/eprint/69746/
_version_ 1751539964160507904
score 13.211869

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