Analysis of Cancer Detection Techniques within Stomach

Authors

  • Savreet Gill  Student,Department of Computer Science and engineering,GIMET,Amritsar , Punjab, India
  • Prabhjit Singh  Astt.Professor,Department of Computer Science and engineering,GIMET,Amritsar, Punjab, India
  • Lovepreet Kaur  Astt.Professor,Department of Computer Science and engineering,GIMET,Amritsar, Punjab, India

Keywords:

Digital Image Processing, SVM, Regression Analysis, Random Forest, MSVM

Abstract

Digital image processing provides graphical mode for detection and prevention of diseases with the collaboration of machine learning. Machine learning contains legion of mechanisms that can work upon the feature extracted from the image. This paper performs analysis of techniques associated with machine learning such as SVM, Regression analysis, random forest and MSVM. In addition detailed procedure followed for classification of MRI image for cancer detection. Parameters considered for evaluation in each research is also discussed in this paper. Comparative analysis of various techniques can be used to choose best possible technique for future endeavours

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

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How to Cite

[1]
Savreet Gill, Prabhjit Singh, Lovepreet Kaur, " Analysis of Cancer Detection Techniques within Stomach, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1253-1259, March-April-2018.