A novel approach for finding accuracy in detection of brain tumor with PET using CNN over fuzzy C-mean algorithm

Convolution neural networks are being used in the study to accurately detect brain tumours, and the expectation accuracy and fuzzy C-Mean method are being compared. In the current framework Fuzzy C-Mean calculation is utilized and in proposed framework Convolution neural organizations is used. Fuzzy C-Mean algorithm (N=10) and CNN (N=10) iterated multiple times to foresee Brain Tumor disease.CNN has essentially improved precision (98.7%) contrasted with FCM exactness (90.5%). The significance value is 0.001 for CNN (p