AI-Based Alzheimer's Disease Detection Using MRI Brain Images

The proposed Alzheimer’s Disease Detection System successfully integrates deep learning techniques and MRI brain image analysis for accurate disease prediction. The ResNet-50 CNN architecture effectively extracts complex spatial features from MRI scans and classifies different stages of Alzheimer’s disease with improved accuracy and efficiency The integration of confidence scores, heatmap visualization, and risk assessment enhances system interpretability and reliability. The Flask-based web application provides a simple and interactive platform for uploading MRI images and obtaining real-time predictions. The developed system can assist healthcare professionals in early diagnosis and support clinical decision-making processes.

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