This is an example of Nested VNet3D.(re)implemented the model with tensorflow framework in the paper of "Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang.(2018) UNet++: A Nested U-Net Architecture for Medical Image Segmentation"

The following dependencies are needed:

• numpy >= 1.11.1
• opencv-python >=3.3.0
• tensorflow-gpu ==1.8.0
• pandas >=0.20.1
• scikit-learn >= 0.17.1

Preprocess

follow KiTS19——2019 Kidney Tumor Segmentation Challenge project

• the VNet3D++ model

• the skip pathway function

UNet++: A Nested U-Net model can find from here:https://github.com/MrGiovanni/UNetPlusPlus

1、Kidney Segmentation

• the train loss

• 200-209case dice value and result

• segmentation result can find in the video of VNet++.avi

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