Abstract
Brain tumour is a kind of tumour which affects the brain tissue and spreads along time varying regenerative disease. If not detected in particular time limit it will be out of control and results in further death. So, instead of neglecting this disease we can detect this disease using our method computer aided diagnosis where doctor / radiologist is absent. If this brain tumour is detected in early stage is sometimes be cured. In this project we introduced two deep learning models. primary model is for converting small unbalanced dataset to large balanced dataset of MRI images i.e.., using Modified Convolutional Variational Auto Encoder(CVAE). The second Model is used for detection and classification. The first model is generative model and another model is used for Training and classification using the classifier of Residual Network Model (RESNET). By using these two deep models higher Performance of model is achieved. The proposed framework has an accuracy of 99%
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