Alzheimer MRI Preprocessed Dataset
Published: 25 June 2025| Version 1 | DOI: 10.17632/3r8hw8wmmk.1
Contributors:
Sachin Kumar, Description
The data is collected from several websites, hospitals, and public repositories. The datasetconsists of preprocessed MRI (magnetic resonance imaging) images. All the images are resized to 128 x 128 pixels. The dataset has four classes of images. The Dataset is consists of a total of 6400 MRI images. Class - 1: Mild Demented (896 images) Class - 2: Moderate Demented (64 images) Class - 3: Non Demented (3200 images) Class - 4: Very Mild Demented (2240 images) Motive The main motive behind sharing this dataset is to design/develop an accurate framework or architecture for the classification of Alzheimer's disease.
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Institutions
University of Jammu Faculty of Mathematical Science
Categories
Magnetic Resonance Imaging, Image Database, Brain Imaging, Image Analysis (Medical Imaging), Health, Image Classification, Brain Abnormalities, Healthcare Research