Classification and innovative detection of bone tumor using support vector machine classifier and comparison with artificial neural network classifier

Machine learning algorithms are widely used in medical analysis due to its great results in detection and prediction of disease. The main aim of this work is to detect the bone tumor in the human body and to evaluate the performance of SVM classifier in identification of bone tumor by comparing it with ANN classifier. Support Vector Machine (SVM) and Artificial Neural Network (ANN) classifiers are implemented to recognise bone MR image dataset with 20 samples. From the MATLAB simulation result, SVM achieves recognition rate with 95.77% and ANN achieves recognition rate with 93% and also attained significance ratio (