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MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation

Cardiac magnetic resonance imaging (MRI) videos are expected to be segmented on-the-fly in real practice. However, existing segmentation methods would suffer from drastic accuracy loss when modified for speedup.

Data and Resources

Cite this as

Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Meng Jiang, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi (2024). Dataset: MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation. https://doi.org/10.57702/hq3fvlbf

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Author Tianchen Wang
More Authors
Jinjun Xiong
Xiaowei Xu
Meng Jiang
Haiyun Yuan
Meiping Huang
Jian Zhuang
Yiyu Shi
Homepage https://arxiv.org/abs/1903.07663