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  • 标题:Segmentation and Feature Extraction of Tumors from Digital Mammograms
  • 本地全文:下载
  • 作者:PRADEEP N ; GIRISHA H ; KARIBASAPPA K
  • 期刊名称:Computer Engineering and Intelligent Systems
  • 印刷版ISSN:2222-1727
  • 电子版ISSN:2222-2863
  • 出版年度:2012
  • 卷号:3
  • 期号:4
  • 页码:37-46
  • 语种:English
  • 出版社:International Institute for Science, Technology Education
  • 摘要:Mammography is one of the available techniques for the early detection of masses or abnormalities which is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect the other parts of the body. The most common abnormalities that might indicate breast cancer are masses and calcifications. Masses appear in a mammogram as fine, granular clusters and also masses will not have sharp boundaries, so often difficult to identify in a raw mammogram. Digital Mammography is one of the best available technologies currently being used for the early detection of breast cancer. Computer Aided Detection System has to be developed for the detection of masses and calcifications in Digital Mammogram, which acts as a secondary tool for the radiologists for diagnosing the breast cancer. In this paper, we have proposed a secondary tool for the radiologists that help them in the segmentation and feature extraction process.
  • 关键词:Mammography; Breast Cancer; Masses; Calcification; Digital Mammography; Computer Aided Detection System; Segmentation; Feature Extraction
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