Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease

Prerequisities

The following dependencies are needed:
- numpy >= 1.11.1
- SimpleITK >=1.0.1
- tensorflow-gpu ==1.14.0
- pandas >=0.20.1
- scikit-learn >= 0.17.1

How to Use

1、Preprocess
* download MRI image data:http://segchd.csail.mit.edu/
* generate patch(96x96x96) image and mask image:run the data3dprepare.py

2、HVSMR Segmentation
* the mutlidepthVnet3d model can find here:https://github.com/junqiangchen/VNetFamily
* train and predict in the script of trainop.py and inferenceopt.py

Result

• test dataset segmentation result
  
  
  
  
  

Contact

• https://github.com/junqiangchen
• email: 1207173174@qq.com
• Contact: junqiangChen
• WeChat Number: 1207173174
• WeChat Public number: 最新医学影像技术