Background: Feature extraction process is noteworthy in order to categorize brain tumors. Handcrafted feature consists of profound limitations. Similarly, without appropriate classifier, the promising improved results can’t be obtained. Objective: This paper proposes a hybrid model for classifying tumors more accurately and rapidly preferable choice aggravating tasks. The main objective this re...

The objective of this research work is to classify brain tumor images into 4 different classes by using Convolutional Neural Network (CNN) algorithm i.e. a deep learning method with VGG16 architecture. four are pituitary, glioma, meningioma, and no tumor. dataset used for publicly available MRI Image 7023 images. methodology followed in project includes data pre-processing, model building, eval...