  Three-dimensional (3D) kidney parsing on computed tomography angiography
(CTA) images is of great clinical significance. Automatic segmentation of
kidney, renal tumor, renal vein and renal artery benefits a lot on
surgery-based renal cancer treatment. In this paper, we propose a new
nnhra-unet network, and use a multi-stage framework which is based on it to
segment the multi-structure of kidney and participate in the KiPA2022
challenge.
