Advances in neoplasm identification in medical imaging

• 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/38596/1/1114ijcsitce02.pdf; http://irep.iium.edu.my/38596/; http://airccse.com/ijcsitce/current.html

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.