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Alzheimer MRI Preprocessed Dataset (128 x 128) The Data is collected from several websites/hospitals/public repositories. The Dataset is consists of Preprocessed MRI (Magnetic Resonance Imaging) Images. All the images are resized into 128 x 128 pixels. The Dataset has four classes of images. The Dataset is consists of total 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 Alzheimers Disease.

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Alzheimer-detection-and-classification

Alzheimer MRI Preprocessed Dataset (128 x 128) The Data is collected from several websites/hospitals/public repositories. The Dataset is consists of Preprocessed MRI (Magnetic Resonance Imaging) Images. All the images are resized into 128 x 128 pixels. The Dataset has four classes of images. The Dataset is consists of total 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 Alzheimers Disease.

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https://www.kaggle.com/datasets/sachinkumar413/alzheimer-mri-dataset

accuracy : 0.99

enjoy deep learning.

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