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Computer vision based automation of Alzheimers Disease diagnosis using MRI scans

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baransonmez/Classifying-Alzheimer-s-Disease

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Classifying-Alzheimer-s-Disease

Code is developed using Python 3.7.

2D Lenet5 Model

Extended Lenet5 was used for classifying Alzheimer's Disease.

Library Requirements:

nibabel 2.4.1 
opencv-python 4.0.0.21 
opencv-contrib-python 4.0.0.21 
Pillow 6.0.0 
matplotlib 3.0.3
medicaltorch 0.2 
scikit-learn 0.21.2 
torch 1.1.0 
torchvision 0.3.0 
torchviz 0.0.1 
tqdm 4.32.1

Usage

python3 2DModel/ExtendedLenet5-2dModel.py <path-to-root-data-folder>

3D Model

3D Model was used for classifying Alzheimer's Disease.

Library Requirements:

matplotlib 3.1.0
numpy 1.16.3
torch 1.0.0
torchvision 0.3.0
nipype 1.2.0
nibabel 2.4.1
seaborn 0.9.0
pandas 0.24.2
scikit-learn 0.20.3

Usage

python3 3DModel/main.py <path-to-root-data-folder>

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Computer vision based automation of Alzheimers Disease diagnosis using MRI scans

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