Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

This is an example of combining VNet3D and AttentionGating.(re)implemented the model with tensorflow in the paper of "Ozan Oktay, Jo Schlemper, Loic Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y Hammerla, Bernhard Kainz, Ben Glocker, Daniel Rueckert.(2018) Attention U-Net: Learning Where to Look for the Pancreas"

Prerequisities

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

How to Use

Preprocess

follow KiTS19——2019 Kidney Tumor Segmentation Challenge project

• the AGVNet3D model

• the Attention Gated model

Prerequisities

Attention U-Net model can find from here:https://github.com/ozan-oktay/Attention-Gated-Networks

Result

1、Kidney Segmentation

• the train loss

• 200-209case dice value and result

• segmentation result can find in the video of attengat.avi

Contact

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