ConResNet
This repo holds the pytorch implementation of ConResNet:
Paper: Inter-slice Context Residual Learning for 3D Medical Image Segmentation. (https://ieeexplore.ieee.org/abstract/document/9245569) (https://arxiv.org/pdf/2011.14155.pdf)
Requirements
Python 3.6
Torch==1.4.0
Apex==0.1
Usage
0. Installation
- Clone this repo
git clone https://github.com/jianpengz/ConResNet.git
cd ConResNet
1. Data Preparation
- Put the data and image_id_list in
dataset/
.
2. Training
- Run
run.sh
to start the training.
3. Evaluation
- Run
python test.py
to start the evaluation.
7. Citation
If this code is helpful for your study, please cite:
@article{zhang2020conresnet,
title={Inter-slice Context Residual Learning for 3D Medical Image Segmentation},
author={Zhang, Jianpeng and Xie, Yutong and Wang, Yan and Xia, Yong},
journal={IEEE Transactions on Medical Imaging},
volume={},
number={},
pages={1-1},
year={2020},
publisher={IEEE}
}
Contact
Jianpeng Zhang ([email protected])