Advances in neoplasm identification in medical imaging

Mohd. Azhari, Ed-Edily and Mohd. Hatta, Muhd. Mudzakkir and Htike@Muhammad Yusof, Zaw Zaw and Shoon , Lei Win (2014) Advances in neoplasm identification in medical imaging. International Journal of Computational Science, Information Technology and Control Engineering, 1 (1). pp. 7-15.

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	6919/38596
Uncontrolled Keywords:	Tumor Detection, Medical Imaging, Computer Vision, Machine Learning
Subjects:	Q Science > Q Science (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Mr. Zaw Zaw Htike
Date Deposited:	07 Oct 2014 12:23
Last Modified:	12 Jun 2018 14:17
URI:	http://irep.iium.edu.my/id/eprint/38596

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