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  • 标题:Automated Method for Cancer Pinpoint Using Magnetic Resonance Imaging - A Theoretical Study
  • 本地全文:下载
  • 作者:Lorate Shiny ; Saanjanna ; Venkatesh Kumar
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2015
  • 期号:MULTICON
  • 页码:84
  • 出版社:S&S Publications
  • 摘要:A Partially Automated method for (Prostate) Cancer pinpoint using Multi-parametric magneticresonance imaging has been proposed in this paper, which can be used in guiding surgery. A Random Walker (RW)algorithm has been analyzed with seed initialization to perform (Prostate) cancer pinpoint using Magnetic ResonanceImaging (MRI). Segmentation can be done by using Random Walker (RW) algorithm which has to be considered to bea fastest method. Random Walker (RW) method can be used with multi-parametric magnetic resonance imaging (MRI)and then by using Support Vector Machine (SVM) method, we can determine the seed points in a partially automatedmanner. By using this method, more weights to the image can be assigned in order to produce improved segmentationprocess. The proposed method can also give high specificity rate without reducing the sensitivity which is better thanearlier methods and fisher sign test can be also used to find the statistical differences.
  • 关键词:Support Vector Machine; Random Walker; Magnetic Prediction; Magnetic Resonance
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