junqiangchen / KiPA2022-Challenge

KiPA2022——Multi-Structure Segment for Renal Cancer Treatment.

KiPA2022-Challenge

This is an example of the CT imaging is used to Segment Multi-Structure for Renal Cancer Treatment.

Prerequisities

The following dependencies are needed:

• numpy >= 1.11.1
• SimpleITK >=1.0.1
• pytorch-gpu ==1.10.0
• pandas >=0.20.1
• scikit-learn >= 0.17.1

How to Use

• 1、when download the all project,check out the data folder all csv,put your train data into same folder.or you can run data3dpreparewithSize.py to generate train data and validation data.
• 2、run train.py for Unet3d segmeatation training:make sure train data have effective path
• 3、run inference.py for Unet3d segmeatation inference:make sure test data have effective path

Result

• dice:train loss,train accuracy,validation loss,validation accuracy

• focalloss:train loss,train accuracy,validation loss,validation accuracy

• test dataset segmentation result

• test dataset leadboard

• more detail and trained model can follow my WeChat Public article.

Contact

• https://github.com/junqiangchen
• email: [e-mail]
• Contact: junqiangChen
• WeChat Number: 1207173174
• WeChat Public number: 最新医学影像技术