文章基本信息

标题：Diagnosis of Breast Abnormalities in Mammographic Image
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作者：Samir Kumar Bandyopadhyay
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：1
出版社：Ayushmaan Technologies
摘要：Mammography is the best available examination for the detection of early signs of Breast cancer such as masses, calcifications, bilateral asymmetry and architectural distortion. Because of the limitations of human observers, computers have major role in detecting early signs of cancer. Wide range of features that define abnormalities and the fact that they are often indistinguishable from the surrounding tissue makes the computer-aided detection and diagnosis of breast abnormalities a challenge. This paper discusses breast lesions and their features. The paper briefly presents some of the developed computer-aided detection and diagnosis methods for each lesion. Attack.
关键词：Mammography; Mass; Asymmetric Density; Architectural;Distortion; Fibroglandular tissue