aramis-lab/AD-DL
Classification of Alzheimer's disease status with convolutional neural networks.
ArchivedSupports both supervised CNN classification and unsupervised autoencoder training on anatomical MRI scans, with pretrained models available for immediate evaluation. Implements reproducible experiment pipelines for AD status prediction from neuroimaging data, validated against peer-reviewed benchmarks. Note: development has transitioned to the ClinicaDL package for ongoing neuroimaging deep learning research.
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63
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15
Language
Python
License
MIT
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Last pushed
Jul 22, 2021
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