CBPF is an improved loss function for class imbalanced small datasets.
This project is an open-source content related to the prediction model of postoperative hepatic encephalopathy in TIPS surgery.Please read our published paper for detailed information.
Clone the repo:
git clone https://github.com/flashxin/CBPF-TIPS-HE.git
└── Train
├── Alice
├── Liver
├──XXX1.npy
├──XXX2.npy
:
└──XXXn.npy
├── Lumbar
├──XXX1.npy
├──XXX2.npy
:
└──XXXn.npy
├── Bob
:
└── name
The original code is an algorithm designed for thin layer CT scanning,if you want to use your own dataset or generalize our methodology, you need to complete follow steps.
- Adjust the file directory to meet the code requirements
- Modify the path to the dataset in yaml
- The dcm/png/jpg file needs to be converted to an npy file in advance. The script for converting DCM to NPY already includes
- If you found our work useful in your research, please consider citing our work at:
#No published paper, will be updated later