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@article{147042,
        author = {Tania Tegga and Er.Surajpal},
        title = {REVIEW OF TECHNIQUES USED TO DETECT PROBLEMS USING MRI IMAGES},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {3},
        pages = {183-188},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=147042},
        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 disease detection using filtering and 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.},
        keywords = {Digital image processing, SVM, Regression analysis, random forest, MSVM.},
        month = {},
        }