Alzheimer’s Disease Detection using multi-modal 3D data
Two multi-modal models are implemented here. The models were used to detect Alzheimer's disease from MRI and fMRI.
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You can use these models to train multi-modal data like fMRI and MRI for classification. This code is an extension of pre-trained 3D ResNet-18 in:
You can use 'MultiModal_ADvsNC' as a template for training your own data.
Please cite the following paper on pre-trained 3D ResNet-18 if you find these models useful:
Cite As
Ebrahimi, Amir, et al. “Introducing Transfer Learning to 3D ResNet-18 for Alzheimer’s Disease Detection on MRI Images.” 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ), IEEE, 2020, doi:10.1109/ivcnz51579.2020.9290616.
Acknowledgements
Inspired by: Pre-trained 3D ResNet-18, Deep Learning Toolbox Model for ResNet-18 Network, Alzheimer’s Disease Detection using 3D ResNet-18 on MRI
General Information
- Version 1.0.0 (129 MB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
