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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/39896/1/4114ijait03.pdf
http://irep.iium.edu.my/39896/
http://airccse.org/journal/IJAIT/current2014.html
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spelling my.iium.irep.39896 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/39896/1/4114ijait03.pdf
http://irep.iium.edu.my/39896/
http://airccse.org/journal/IJAIT/current2014.html
_version_ 1643616765585915904
score 13.211869

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