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: 1207173174@qq.com
- Contact: junqiangChen
- WeChat Number: 1207173174
- WeChat Public number: 最新医学影像技术