CortexNet: convolutional neural networks for alzheimer’s disease diagnosis using brain MRI

Researchers designed CortexNet, a new convolutional neural network, to help diagnose Alzheimer’s disease using brain MRI scans. The model showed high accuracy across different classification tests, reaching up to 98.91% performance. This lightweight architecture uses fewer resources, making it a useful tool for medical systems in areas with limited technology.