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This code is for `Pancreas Segmentation by Two-View Feature Learning and Multi-Scale Supervision`

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TVMS-Net

This code is for Pancreas Segmentation by Two-View Feature Learning and Multi-Scale Supervision. The paper is under review.

Overview

fig2

bar

loss

Data

Pre-trained Models on the NIH Dataset

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%

Contact

For any paper related questions, please contact yunjie19@mails.jlu.edu.cn

Citation

If this paper is helpful for your research, please cite our paper.

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This code is for `Pancreas Segmentation by Two-View Feature Learning and Multi-Scale Supervision`

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