Classification and innovative detection of bone tumour using CNN classifier and comparison with ANN classifier

Deep learning algorithms have the power to process an outsized number of features. These techniques are utilized in the field of medical image analysis due to its good and impressive results and prediction of diseases. The aim present investigation is to assess the performance of the Convolution Neural Network (CNN) classifier in detection of bone tumors and compare with the Artificial Neural Network (ANN) classifier. 20 sample of image dataset were evaluated with CNN and ANN classifiers. From the MATLAB simulation result, CNN attains recognition rate with 98 % accuracy and KNN achieves recognition rate with 93 % accuracy. Attained significant accuracy ratio (p