A multi view multi stage and multi window framework for pulmonary artery
segmentation from CT scans
- URL: http://arxiv.org/abs/2209.03918v3
- Date: Mon, 12 Sep 2022 07:41:32 GMT
- Title: A multi view multi stage and multi window framework for pulmonary artery
segmentation from CT scans
- Authors: ZeYu Liu, Yi Wang, Jing Wen, Yong Zhang, Hao Yin, Chao Guo, Zhongyu
Wang
- Abstract summary: We solve the segmentation problem of the pulmonary artery by using a two-stage method based on a 3D CNN network.
In addition, in order to improve the segmentation performance, we adopt multi-view and multi-window level method.
- Score: 12.276612122678902
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: This is the technical report of the 9th place in the final result of
PARSE2022 Challenge. We solve the segmentation problem of the pulmonary artery
by using a two-stage method based on a 3D CNN network. The coarse model is used
to locate the ROI, and the fine model is used to refine the segmentation
result. In addition, in order to improve the segmentation performance, we adopt
multi-view and multi-window level method, at the same time we employ a
fine-tune strategy to mitigate the impact of inconsistent labeling.
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