Classification and Explanation Model for Alzheimer’s Disease
Python implementation for the classification and explanation of Alzheimer's Disease based on voxResNet.
Dataset
For more detailed information and download, please refer to http://adni.loni.usc.edu/
Prerequisites
- Python 2.7
- numpy
- Pandas
- matplotlib
- theano
- scikit-learn
Result
Contacts
If you have any question, please contact Gun-Hee Lee (gunhlee@korea.ac.kr).
XAI Project
This work was supported by Institute for Information & Communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (No.2017-0-01779, A machine learning and statistical inference framework for explainable artificial intelligence)
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Project Name : A machine learning and statistical inference framework for explainable artificial intelligence(의사결정 이유를 설명할 수 있는 인간 수준의 학습·추론 프레임워크 개발)
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Managed by Ministry of Science and ICT/XAIC
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Participated Affiliation : UNIST, Korea Univ., Yonsei Univ., KAIST, AItrics
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Web Site : http://openXai.org
