In her thesis, the researcher presented an intelligent model that utilizes a deep learning approach for precise diagnosis and identification of Alzheimer’s disease. The (CNN) algorithm was employed in constructing the model for the classification of MRI images, supplemented by the application of Data Augmentation to enhance data variety.

The study’s findings emphasize the significance of large databases in improving the model’s accuracy in classifying MRI images, whether in binary or multiple classifications. The deep learning process relies heavily on extensive datasets for effective model training and optimal outcomes.”