• Antony Asir Daniel

In this paper the work is to reduce the physician time by assessing with computer aided tumor detection. Human investigation is the routine technique for brain MRI tumour detection and tumors classification. The proposed system classifies the brain tumors in double training process which gives preferable performance over the traditional classification method. The proposed SVM classifier can accurately classifying the status of the brain image into normal / abnormal and KNN classifier can classify the grades of tumor.

AUTOMATIC BRAIN TUMOR SEGMENTATION AND CLASSIFICATION

"AUTOMATIC BRAIN TUMOR SEGMENTATION AND CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.116-125, January-2019, Available :http://www.jetir.org/papers/JETIR1901H82.pdf

"AUTOMATIC BRAIN TUMOR SEGMENTATION AND CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp116-125, January-2019, Available at : http://www.jetir.org/papers/JETIR1901H82.pdf