Noise removal methodologies for lung cancer diagnosis

Noise reduction is the one of the step in image processing where the process of reducing noise from an image. The noise present in the images such as in a medical image like Salt and Paper Noise, Gaussian Noise and others. Different noises have their own characteristics which make them identifiable...

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Main Author:	Nur Fatin Razlieya, Mohd Razali
Format:	Undergraduates Project Papers
Language:	English
Published:	2019
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/26970/ http://umpir.ump.edu.my/id/eprint/26970/ http://umpir.ump.edu.my/id/eprint/26970/1/Noise%20removal%20methodologies%20for%20lung%20cancer.pdf

id	ump-26970
recordtype	eprints
spelling	ump-269702019-12-17T04:06:18Z http://umpir.ump.edu.my/id/eprint/26970/ Noise removal methodologies for lung cancer diagnosis Nur Fatin Razlieya, Mohd Razali QA75 Electronic computers. Computer science QA76 Computer software Noise reduction is the one of the step in image processing where the process of reducing noise from an image. The noise present in the images such as in a medical image like Salt and Paper Noise, Gaussian Noise and others. Different noises have their own characteristics which make them identifiable from others. However, enhanced the image especially the medical images is required by doctors to help the diagnosis and interpretation because lack of images quality due to the noise. The methods of noise removal was be analysed from existing paper in literature review. Based on the existing paper, each of the method had their own benefits and drawbacks. Therefore, the uses of suitable method is important to improve the quality of medical image for early diagnosis of lung cancer. In this paper, Gaussian Filter and Median Filter is proposed for removing the noise from CT scan images. The objective of the study is to implement and develop the method of noise removal for lung cancer diagnosis. The development research methodology presented five fundamental stage which are investigation of existing method of noise removal, developing a new method for noise removal, implementation of the noise removal method, verification and validation. Therefore, the algorithm will be developed and implemented in MATLAB software. Then, the method will be tested and verified to detect the cancer in the lung image. The result of CT scan image of lung cancer were showed and to validated the performance of this proposed method. 2019-01 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26970/1/Noise%20removal%20methodologies%20for%20lung%20cancer.pdf Nur Fatin Razlieya, Mohd Razali (2019) Noise removal methodologies for lung cancer diagnosis. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science QA76 Computer software
spellingShingle	QA75 Electronic computers. Computer science QA76 Computer software Nur Fatin Razlieya, Mohd Razali Noise removal methodologies for lung cancer diagnosis
description	Noise reduction is the one of the step in image processing where the process of reducing noise from an image. The noise present in the images such as in a medical image like Salt and Paper Noise, Gaussian Noise and others. Different noises have their own characteristics which make them identifiable from others. However, enhanced the image especially the medical images is required by doctors to help the diagnosis and interpretation because lack of images quality due to the noise. The methods of noise removal was be analysed from existing paper in literature review. Based on the existing paper, each of the method had their own benefits and drawbacks. Therefore, the uses of suitable method is important to improve the quality of medical image for early diagnosis of lung cancer. In this paper, Gaussian Filter and Median Filter is proposed for removing the noise from CT scan images. The objective of the study is to implement and develop the method of noise removal for lung cancer diagnosis. The development research methodology presented five fundamental stage which are investigation of existing method of noise removal, developing a new method for noise removal, implementation of the noise removal method, verification and validation. Therefore, the algorithm will be developed and implemented in MATLAB software. Then, the method will be tested and verified to detect the cancer in the lung image. The result of CT scan image of lung cancer were showed and to validated the performance of this proposed method.
format	Undergraduates Project Papers
author	Nur Fatin Razlieya, Mohd Razali
author_facet	Nur Fatin Razlieya, Mohd Razali
author_sort	Nur Fatin Razlieya, Mohd Razali
title	Noise removal methodologies for lung cancer diagnosis
title_short	Noise removal methodologies for lung cancer diagnosis
title_full	Noise removal methodologies for lung cancer diagnosis
title_fullStr	Noise removal methodologies for lung cancer diagnosis
title_full_unstemmed	Noise removal methodologies for lung cancer diagnosis
title_sort	noise removal methodologies for lung cancer diagnosis
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26970/ http://umpir.ump.edu.my/id/eprint/26970/ http://umpir.ump.edu.my/id/eprint/26970/1/Noise%20removal%20methodologies%20for%20lung%20cancer.pdf
first_indexed	2023-09-18T22:42:20Z
last_indexed	2023-09-18T22:42:20Z
_version_	1777416997473091584

Noise removal methodologies for lung cancer diagnosis

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