An Efficient Model for Predicting Brain Tumor using Deep Learning Techniques

One of the most popular applications of Artificial Intelligence that has seen an immense growth in the digital era is Deep Learning Techniques, where the system studies and improves its performance through progressive learning without any explicit programming. Deep learning is widely used in numerous applications one of them being medical analysis. Feature extraction and Image classification are considered to be the most popularly used approaches done using deep learning process. Prior to this, some neural networks were used for image Classification. A significant, practical deep learning model is proposed which uses back propagation neural network classifier to predict brain stroke through CT/MRI scan images. The performance and accuracy of the proposed model is evaluated and compared with existing models and it produces high sensitivity, specificity, precision and accuracy.