An Investication Report on Spoting and Diagnosing Diseases from the Images of Brain by Convolutional Neural Method Using Fusion Support Vector Machine

One of the destructive diseases which leads to a very short life in higher grade is brain tumor. The brain tumor imaging technologies play an essential role in concentrating and evaluating the novel perception of operations and brain anatomy. For classification purpose a convolutional neural network using fusion support vector machine is used. The outcome is combined to categorize the input image in to two classes like normal and abnormal with improved accuracy, sensitivity and specificity.