A Multi-Stage Framework for the 2022 Multi-Structure Segmentation for Renal Cancer Treatment
This work addresses a domain-specific problem for medical professionals in renal cancer surgery, but appears incremental as it builds on existing segmentation methods.
The authors tackled the problem of 3D segmentation of kidney structures (kidney, tumor, vein, artery) from CTA images to aid renal cancer treatment, proposing a multi-stage framework based on a new nnhra-unet network and participating in the KiPA2022 challenge.
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.