Airway Segmentation Using U2-net and Dice Loss

doi:doi:10.57702/fy9fodes

Airway Segmentation Using U2-net and Dice Loss

Airway segmentation from chest computed tomography scans has played an essential role in the pulmonary disease diagnosis. The computer-assisted airway segmentation based on the U-net architecture is more eﬃcient and accurate compared to the manual segmentation.

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Cite this as

Kunpeng Wang, Yuexi Dong, Yunpu Zeng, Zhichun Ye, Yangzhe Wang (2024). Dataset: Airway Segmentation Using U2-net and Dice Loss. https://doi.org/10.57702/fy9fodes

DOI retrieved: December 3, 2024

Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Author	Kunpeng Wang
More Authors	Yuexi Dong Yunpu Zeng Zhichun Ye Yangzhe Wang