Analysis of CNN Classifier in Brain Tumor Detection

F. Catherine Tamilarasi and Dr.J. Shanmugam

Brain tumor is one of the dreadful diseases in its advance stage. So it should be detected in the earlier stage. The detection of the tumor in brain is difficult task. It is the most common type of forceful diseases leads to a less period of life expectancy in the largest grade. In this proposed system analyzes the accuracy, sensitivity and specificity level of MRI brain images using various classifiers like ANN(Artificial Neural Network), Back Propagation and CNN ( Convolutional Neural Network) without human assistance. Based upon the analysis CNN is the best classifier compared with other classifiers. ResNet is the variation of CNN. It provides less error rate than other CNN architectures.

Volume 12 | 05-Special Issue

Pages: 1420-1425

DOI: 10.5373/JARDCS/V12SP5/20201901