This code is for Pancreas Segmentation by Two-View Feature Learning and Multi-Scale Supervision
. The paper is under review.
- NIH pancreas segmentation dataset:
- Medical Segmentation Decathlon:
The 82 cases in the NIH dataset are split into 4 folds:
- Fold #0: testing on Cases 01, 02, ..., 20;
- Fold #1: testing on Cases 21, 22, ..., 40;
- Fold #2: testing on Cases 41, 42, ..., 61;
- Fold #3: testing on Cases 62, 63, ..., 82.
Link | Accuracy | |
---|---|---|
Fold #0 | https://pan.baidu.com/s/1fPCI9EGPm9x_tCzborydHg (code: qpdn) | 85.03% |
Fold #1 | https://pan.baidu.com/s/199OoCaSRaGASbj0OalZxFQ (code: 7uja) | 84.95% |
Fold #2 | https://pan.baidu.com/s/1ZoG36R4bD85WQAD9qxCQog (code:4eqx ) | 84.59% |
Fold #3 | https://pan.baidu.com/s/1CbjQzJyRNWWYtvF-qo-RcA (code: 1hqj) | 86.22% |
Average | 85.19% |
For any paper related questions, please contact yunjie19@mails.jlu.edu.cn
If this paper is helpful for your research, please cite our paper.