Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted Focal U-Net

Xiao-Yun Zhou, Celia V. Riga, Su-Lin Lee, Guang-Zhong Yang. Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted Focal U-Net. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018. pages 1261-1267, IEEE, 2018. [doi]

Authors

Xiao-Yun Zhou

This author has not been identified. Look up 'Xiao-Yun Zhou' in Google

Celia V. Riga

This author has not been identified. Look up 'Celia V. Riga' in Google

Su-Lin Lee

This author has not been identified. Look up 'Su-Lin Lee' in Google

Guang-Zhong Yang

This author has not been identified. Look up 'Guang-Zhong Yang' in Google