Analysis of MRI image data for Alzheimer disease detection using deep learning techniques

The results show that the proposed feature selection algorithms discover a sub-optimal minimal level feature set from a larger input feature set for diagnosing Alzheimer's disease, with higher values for system performance in terms of Accuracy as well as losses against training and Accuracy and losses against validation can demonstrate the model's suitability for the purpose.