realmir1/Alzheimer
This script classifies Alzheimer’s MRI scans into four categories using a CNN in TensorFlow. It preprocesses images, splits them into training and validation sets, and trains the model for 10 epochs. The model consists of convolutional, max-pooling, and dense layers, with softmax for classification.
This project helps neurologists or radiologists classify Alzheimer's disease stages from MRI scans. It takes a collection of MRI images as input and sorts them into four categories: No Alzheimer's, Very Mild, Mild, or Moderate Alzheimer's. This tool assists medical professionals in quickly categorizing MRI scans to support diagnosis or research.
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Use this if you are a medical professional or researcher working with MRI images and need to automatically classify Alzheimer's disease stages.
Not ideal if you need to classify other medical conditions from MRI scans, or if you require a diagnostic tool for immediate patient care without expert oversight.
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Python
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Last pushed
Feb 24, 2025
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