Brain Disease Diagnosis Using Deep Learning

Our body's control center is the brain. As the time goes on, more and more brand-new disorders are being identified. By detecting brain diseases at the most possible time it can improve the treatment quality and it saves the time and manpower. In this paper, we represent a documentation with advanced deep learning methods for determining four neurological disorders such as Alzheimer's disease (AD), brain tumor, epilepsy, and Parkinson's disease. This project deals with investigations on neurological disorders in brain. The neurological disorders in the brain has being assessed by 3D-CNN (Convolutional Neural Networks) methods. Deep learning and 3D-CNN plays a vital role to detect the neurological disorders in brain with best accuracy and efficiency. To detect brain tumor a 3D-CNN method is used from MRI scan images with improved efficiency by CNN. To predict epilepsy a deep C-LTSM (Long Term Short Memory) model performed.