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

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

by Riga, Xiao-Yun Zhou Celia, Lee, Su-Lin, Yang, Guang-Zhong
Year of Publication 04.11.2017

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Journal Article

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

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

by Xiao-Yun Zhou Celia Riga, Su-Lin, Lee, Yang, Guang-Zhong
Published in arXiv.org (31.07.2018)

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Paper