A Convolution Neural Network for Artificial Intelligence-Based Classification of Alzheimer’s Diseases

The purpose of this chapter is to construct a high-accuracy deep learning algorithm with the best performing model for the diagnosis and classification of medical pictures related to Alzheimer’s disease. The CNN model will be used to train MRI brain images. In order to construct and deploy the model, this chapter makes use of specialized application software and libraries including Jupyter notebook, Python 3, Keras, and TensorFlow. The trained model will be distributed as an application known as an APK, which will make it accessible as an android application for personal diagnosis. It will be a web service for diagnosing Alzheimer’s disease and determining the stage of the disease remotely.