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.

翻译：这是PARSE22挑战最后结果第9位的技术报告。我们使用基于 3D CNN 网络的两阶段方法解决肺动脉的分解问题。粗糙模型用于定位ROI,精细模型用于完善分解结果。此外,为了改善分解性能,我们采用了多视角和多窗口级方法,同时我们采用微调战略来减轻不一致标签的影响。