• Daljit Kaur

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 endeavors.

Digital image processing, SVM, Regression analysis, Random forest, MSVM

"Analysis of Breast Cancer Detection Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.607-612, August-2018, Available :http://www.jetir.org/papers/JETIR1808844.pdf

"Analysis of Breast Cancer Detection Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp607-612, August-2018, Available at : http://www.jetir.org/papers/JETIR1808844.pdf