Note: If your work uses this algorithm or makes improvements based on it, please be sure to cite this paper. Thank you for your cooperation.

注意：如果您的工作用到了本算法，或者基于本算法进行了改进，请您务必引用本论文，谢谢配合。

MSCN-NET

Code for "MSCN-NET: Multi-Stage Cascade Neural Network based on attention mechanism for Cerenkov luminescence tomography"

Mengfei Du, Yi Chen, Weitong Li, Linzhi Su※, Huangjian Yi, Fengjun Zhao, Kang Li, Lin Wang and Xin Cao※.

Journal of Applied Physics. (2022).

Environments

Python：3.7

PaddlePaddle: 2.3.0

Prerequisites

The code is built with following libraries :

Python >= 3.7

PaddlePaddle >= 2.3

Scipy >= 1.7.3

Numpy >= 1.21.5

Matplotlib >= 3.4.3

Natsort >= 7.1.1

文件功能描述：

train.py: 训练模型

test.py:测试模型

show.py：绘制损失曲线

model.py: 构建网络模型