Gorbachev et al. present a cancer risk stratification framework that combines univariate thresholding with multivariate modeling using a hybrid parallel deep learning architecture. They find that integration of multi-modal information and advanced architectural components improves predictive performance while maintaining high interpretability.
- Sergey Gorbachev
- Abhishek Dixit
- Zhijian Wang