文章基本信息

标题：Abnormality Detection in Digital Mammogram
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作者：S Narasimha Murthy ; Arun Kumar M N ; H.S. Sheshadri 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2013
卷号：4
期号：6
页码：830-834
出版社：TechScience Publications
摘要：Breast cancer is one of the most common life threatening types of cancer affecting woman. Mammography is an effective screening tool used by the radiologist for breast cancer detection. CAD system is like a spell checker and provides a second opinion for radiologists. The detection performance of the CAD can be improved by using appropriate techniques in digital image processing, machine learning and statistical analysis. The important features associated with cancers are microcalcification clusters, architectural distortions and masses. There are some issues such as poor image quality and shapes of masses leads to the classification of masses a difficult task. An efficient technique that deals with the detection of masses is proposed in this paper. Paper also proposes some new techniques that classify the detected masses to benign or malignant. The proposed techniques use the image datasets from MIAS research database. Proposed methods outperform other techniques in the detection and classification of masses.
关键词：CAD System; architectural distortions;Mammography; Masses