HFBSurv: Hierarchical multimodal fusion with factorized bilinear models for cancer survival prediction
This is an implementation of HFBSurv in Python 3.6.13 under Linux with CPU Intel Xeon 4110 @ 2.10GHz, GPU NVIDIA GeForce RTX 2080 Ti, and 192GB of RAM. It follows a modern deep learning design and is implemented by PyTorch platform.
git clone https://github.com/Liruiqing-ustc/HFBSurv.git
cd HFBSurv
Examples shown below for training or testing:
Training:
cd model
python train_cv.py
Testing:
cd model
python test_cv.py
This code is inspired by SALMON and Pathomic Fusion.