Python implementation for the classification and explanation of Alzheimer's Disease based on voxResNet.
For more detailed information and download, please refer to http://adni.loni.usc.edu/
- Python 2.7
- numpy
- Pandas
- matplotlib
- theano
- scikit-learn
If you have any question, please contact Gun-Hee Lee (gunhlee@korea.ac.kr).
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)
-
Project Name : A machine learning and statistical inference framework for explainable artificial intelligence(의사결정 이유를 설명할 수 있는 인간 수준의 학습·추론 프레임워크 개발)
-
Participated Affiliation : UNIST, Korea Univ., Yonsei Univ., KAIST, AItrics
-
Web Site : http://openXai.org