Tumor detection in medical imaging: a survey

A tumor also known as neoplasm is a growth in the abnormal tissue which can be differentiated from the surrounding tissue by its structure. A tumor may lead to cancer, which is a major leading cause of death and responsible for around 13% of all deaths world-wide. Cancer incidence rate is growing at...

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Main Authors:	Mohd. Azhari, Ed-Edily, Mohd. Hatta, Muhd. Mudzakkir, Htike@Muhammad Yusof, Zaw Zaw, Shoon , Lei Win
Format:	Article
Language:	English
Published:	AIRCC Publishing Corporation 2014
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/39896/ http://irep.iium.edu.my/39896/ http://irep.iium.edu.my/39896/1/4114ijait03.pdf

id	iium-39896
recordtype	eprints
spelling	iium-398962018-06-20T04:49:08Z http://irep.iium.edu.my/39896/ Tumor detection in medical imaging: a survey Mohd. Azhari, Ed-Edily Mohd. Hatta, Muhd. Mudzakkir Htike@Muhammad Yusof, Zaw Zaw Shoon , Lei Win Q Science (General) A tumor also known as neoplasm is a growth in the abnormal tissue which can be differentiated from the surrounding tissue by its structure. A tumor may lead to cancer, which is a major leading cause of death and responsible for around 13% of all deaths world-wide. Cancer incidence rate is growing at an alarming rate in the world. Great knowledge and experience on radiology are required for accurate tumor detection in medical imaging. Automation of tumor detection is required because there might be a shortage of skilled radiologists at a time of great need. This paper reviews the processes and techniques used in detecting tumor based on medical imaging results such as mammograms, x-ray computed tomography (x-ray CT) and magnetic resonance imaging (MRI). We find that computer vision based techniques can identify tumors almost at an expert level in various types of medical imagery assisting in diagnosing myriad diseases. AIRCC Publishing Corporation 2014-02 Article PeerReviewed application/pdf en http://irep.iium.edu.my/39896/1/4114ijait03.pdf Mohd. Azhari, Ed-Edily and Mohd. Hatta, Muhd. Mudzakkir and Htike@Muhammad Yusof, Zaw Zaw and Shoon , Lei Win (2014) Tumor detection in medical imaging: a survey. International journal of Advanced Information technology (IJAIT) , 4 (1). pp. 21-29. ISSN 2231-1920 http://airccse.org/journal/IJAIT/current2014.html
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	Q Science (General)
spellingShingle	Q Science (General) Mohd. Azhari, Ed-Edily Mohd. Hatta, Muhd. Mudzakkir Htike@Muhammad Yusof, Zaw Zaw Shoon , Lei Win Tumor detection in medical imaging: a survey
description	A tumor also known as neoplasm is a growth in the abnormal tissue which can be differentiated from the surrounding tissue by its structure. A tumor may lead to cancer, which is a major leading cause of death and responsible for around 13% of all deaths world-wide. Cancer incidence rate is growing at an alarming rate in the world. Great knowledge and experience on radiology are required for accurate tumor detection in medical imaging. Automation of tumor detection is required because there might be a shortage of skilled radiologists at a time of great need. This paper reviews the processes and techniques used in detecting tumor based on medical imaging results such as mammograms, x-ray computed tomography (x-ray CT) and magnetic resonance imaging (MRI). We find that computer vision based techniques can identify tumors almost at an expert level in various types of medical imagery assisting in diagnosing myriad diseases.
format	Article
author	Mohd. Azhari, Ed-Edily Mohd. Hatta, Muhd. Mudzakkir Htike@Muhammad Yusof, Zaw Zaw Shoon , Lei Win
author_facet	Mohd. Azhari, Ed-Edily Mohd. Hatta, Muhd. Mudzakkir Htike@Muhammad Yusof, Zaw Zaw Shoon , Lei Win
author_sort	Mohd. Azhari, Ed-Edily
title	Tumor detection in medical imaging: a survey
title_short	Tumor detection in medical imaging: a survey
title_full	Tumor detection in medical imaging: a survey
title_fullStr	Tumor detection in medical imaging: a survey
title_full_unstemmed	Tumor detection in medical imaging: a survey
title_sort	tumor detection in medical imaging: a survey
publisher	AIRCC Publishing Corporation
publishDate	2014
url	http://irep.iium.edu.my/39896/ http://irep.iium.edu.my/39896/ http://irep.iium.edu.my/39896/1/4114ijait03.pdf
first_indexed	2023-09-18T20:57:16Z
last_indexed	2023-09-18T20:57:16Z
_version_	1777410388136034304

Tumor detection in medical imaging: a survey

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