文章基本信息

标题：Tumor detection in medical imaging: a Survey
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作者：Ed-Edily Mohd. Azhari ; Muhd. Mudzakkir Mohd. Hatta ; Zaw Zaw Htike 等
期刊名称：International Journal of Advanced Information Technology
印刷版ISSN：2231-1920
电子版ISSN：2231-1548
出版年度：2014
卷号：4
期号：1
页码：21
DOI：10.5121/ijait.2014.4103
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：A tumor also known as neoplasm is a growth in the abnormal tissue which can be differentiated from thesurrounding tissue by its structure. A tumor may lead to cancer, which is a major leading cause of deathand responsible for around 13% of all deaths world-wide. Cancer incidence rate is growing at an alarmingrate in the world. Great knowledge and experience on radiology are required for accurate tumor detectionin medical imaging. Automation of tumor detection is required because there might be a shortage of skilledradiologists at a time of great need. This paper reviews the processes and techniques used in detectingtumor 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 tumorsalmost at an expert level in various types of medical imagery assisting in diagnosing myriad diseases.
关键词：Tumor Detection; Medical Imaging; Computer Vision; Machine Learning