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文章基本信息

  • 标题:Content Based Image Retrival of MRI of Human Brain
  • 本地全文:下载
  • 作者:Qaim Mehdi Rizvi ; A. A. Karawia
  • 期刊名称:International Journal of Computer Science and Network Solutions
  • 印刷版ISSN:2345-3397
  • 出版年度:2014
  • 卷号:2
  • 期号:3
  • 页码:43-51
  • 出版社:International Journal of Computer Science and Network Solutions
  • 摘要:Medical imaging has become one of the most important clinical diagnosis components. Medical images are different from general images in the sense that they contain anatomical expertise. However, general registration techniques do not well exploit such expertise so better extraction and matching techniques are required for precise computer assisted diagnosis. Content-based image retrieval (CBIR) of medical images is an important alternate and complement to traditional text-based retrieval using keywords. The purpose of this Paper is to describe our research on improvement of feature extraction and matching technique for more precise and accurate Content Based Image Retrieval (CBIR) system specially designed for Brain scan images regarding various brain diseases and abnormalities
  • 关键词:Computer Assisted Diagnosis; Mean Weight Factor; Computed Tomography; Cut-off Limit; Threshold; Entropy
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