NEUROIMAGING-BASED MCI PREDICTION USING DEEP LEARNING
An improved model based on the Xception architecture is created, building on previous deep learning techniques that use convolutional neural networks (CNNs) with channel attention mechanisms, to offer a dependable, accessible diagnostic tool to assist medical professionals in the early detection of Alzheimer's disease.