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  • 标题:Analysis of Breast Cancer And Image Processing Techniques
  • 本地全文:下载
  • 作者:T. Leena Prema Kumari ; K. Perumal
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2020
  • 卷号:68
  • 期号:1
  • 页码:58-63
  • DOI:10.14445/22312803/IJCTT-V68I1P113
  • 出版社:Seventh Sense Research Group
  • 摘要:Rapid increase in the number or amount of cell in their growth and the structure is a cancer cell. Prior detection of cancer can reduce the demise rate. Radiologist can miss the abnormalities due to inexperience in the field of mammography to detect the cancer. Many people have been cured of it due to early detection. Still the automated classification of Mss is a complex task. Dense tissues may easily be confused as calcification result in high false positive. So, pre processing to enhance the images places a vital role to adjust and make the correction by avoid the unwanted part of image. The success of segmentation and classification depends upon the accuracy of preprocessing. The aim of this process is to enhance in the quality by removing the unrelated and surplus parts in the background of mammogram. Different types of abnormalities, patterns and the features of BIRADS and various techniques to evaluate the mammogram using image processing were discussed. This paper concludes with the need of pre processing techniques to get the best accuracy..
  • 关键词:Full Field Digital Mammography; Computer Aided Detection; Breast Imaging;Reporting and Data System; Region of Interest; MedioLateral Oblique; Cranio Cauda
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