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@article{189844,
        author = {Chiranth M L and Chirag S M and keerthiraju B S and Vishal S},
        title = {Alzheimer’s Disease Detection and Stage Classification Using Deep Learning on MRI Images},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {1846-1851},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189844},
        abstract = {Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder affecting memory and cognitive abilities. This paper presents a deep learning-based Alzheimer’s disease detection and stage classification system using MRI images. A ResNet-50 convolutional neural network is used to classify brain MRI scans into four stages: Non-Demented, Very Mild Demented, Mild Demented, and Moderate Demented. Image preprocessing and augmentation techniques are applied to enhance performance. The trained model is deployed through a Flask-based web application for real-time diagnosis. Experimental results demonstrate high accuracy and robustness, making the system suitable for early Alzheimer’s disease detection.},
        keywords = {Alzheimer’s Disease, Deep Learning, MRI, ResNet-50, CNN.},
        month = {January},
        }