  Accurate and automated segmentation of multi-structure (i.e., kidneys, renal
tu-mors, arteries, and veins) from 3D CTA is one of the most important tasks
for surgery-based renal cancer treatment (e.g., laparoscopic partial
nephrectomy). This paper briefly presents the main technique details of the
multi-structure seg-mentation method in MICCAI 2022 KIPA challenge. The main
contribution of this paper is that we design the 3D UNet with the large context
information cap-turing capability. Our method ranked eighth on the MICCAI 2022
KIPA chal-lenge open testing dataset with a mean position of 8.2. Our code and
trained models are publicly available at
https://github.com/fengjiejiejiejie/kipa22_nnunet.
