Web: http://arxiv.org/abs/2209.10796

Sept. 23, 2022, 1:14 a.m. | Kunpeng Wang, Yuexi Dong, Yunpu Zeng, Zhichun Ye, Yangzhe Wang

cs.CV updates on arXiv.org arxiv.org

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. In this paper we employ the U$^2$-net
trained by the Dice loss function to model the airway tree from the multi-site
CT scans based on 299 training CT scans provided by the ATM'22. The derived
saliency probability map from the training is applied to …

arxiv function loss segmentation

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