Comparative Study on Medical Image Classification Techniques

( Vol-2,Issue-11,November 2016 )

Author(s): Dr Rajesh Sharma R, P S Renisha, Dr Akey Sungheetha

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Page No: 1849-1853
DOI:

Keywords:

MRI, SVM, RGSA, KNN, BPNN.

Abstract:

This brief study compares the proposed RGSA algorithm with other recent methods by several experiments to indicate that proposed 3DGLCM and SGLDM with SVM classifier is more efficient and accurate. The accuracy results of this study imply how well their experimental results were found to give more accurate results of classifying tumors. The center of interest for this study was made on supervised classification approaches on 2D MRI images of brain tumors. This paper gives the comparative study of various approaches that was used to identify the tumor cells with classifiers.

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