This cotain core model codes for MICCAI'17 paper
The work is built by theano which is somewhat out-dated.
"DeepCorrPre.py" is used first to maximize the correlation among the views. "DeepMultiSurv.py" is used to loading saved models and transfer feature hierarchies from view commonality and specifically fine-tunes on the survival regression task. Please check the paper for more details.
If you find this repository useful in your research, please cite:
@inproceedings{yao2017deep,
title={Deep correlational learning for survival prediction from multi-modality data},
author={Yao, Jiawen and Zhu, Xinliang and Zhu, Feiyun and Huang, Junzhou},
booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
pages={406--414},
year={2017},
organization={Springer}
}