Published Paper Details:

Medical science has incredibly succeeded and grew to become excellent in modern years. Technology is altering the world of medicine. Numerous upgrades and new preferences are already in the market and they all elevated fitness care drastically. But human beings, flip out to be scared when they hear cancer. The main objective of our project is to detect the brain cancer by using Convolutional Neural Network(CNN) and VGG16. A Convolutional Neural Network is a classification of deep neural networks, most often utilized to analyse visual imagery. CNN is now the go-to model on every image associated problem. The principal gain of CNN model is it mechanically sense the essential feature barring human supervision. There are many CNN models are there like VGG-16,ResNet model. Amongst the nice performing CNN models, VGG is terrific for its simplicity. VGG-16 incorporates sixteen layers, a crucial CNN model comes to the notion if one wishes to use an off-the-shelf model for a task. Our paper intends to locate out the brain tumour with the utilization of VGG-16, Convolutional Neural Network model architecture and weights train the model for this problem. The performance will be evaluated on accuracy. The information set we desire to use in our work is Brain MRI images for Brain Tumour Detection.