bigheqiduo / kits19-challege

KiTS19——2019 Kidney Tumor Segmentation Challenge

KiTS19——2019 Kidney Tumor Segmentation Challenge

This is an example of the CT images Kidney Tumor Segmentation

Prerequisities

The following dependencies are needed:

• numpy >= 1.11.1
• SimpleITK >=1.0.1
• opencv-python >=3.3.0
• tensorflow-gpu ==1.0.0
• pandas >=0.20.1
• scikit-learn >= 0.17.1
• json >=2.0.9

How to Use

1、Preprocess

• analyze the ct image,and get the slice thickness and window width and position:run the dataAnaly.py
• keep Kidney region range image:run the data2dprepare.py
• generate patch(128,128,32) kidney image and mask:run the data3dprepare.py
• save patch image and mask into csv file:run the utils.py,like file trainSegmentation.csv
• split trainSegmentation.csv into training set and test set:run subset.py

2、Kidney Segmentation

• the VNet model

• train and predict in the script of vnet3d_train.py and vnet3d_predict.py

Result

Contact

• https://github.com/junqiangchen
• email: [email protected]，[email protected],[email protected]
• Contact: junqiangChen，yixuanWang（王艺璇）,junMa(马骏)
• WeChat Number: 1207173174
• WeChat Public number: 最新医学影像技术