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  • 标题:Diagnosis of Breast Abnormalities in Mammographic Image
  • 本地全文:下载
  • 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
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