Contrast-Enhanced CT Renal Tumor Segmentation

Xiao Chu D, Haseeb Hassan, Bingding Huang

Keywords: two-stage, kidney tumor, segmentation

Abstract: Automated detection and segmentation of kidneys, tumors, and cysts are useful for renal diagnosis and treatment planning. Here we propose a two-stage contrast-enhanced CT detection and segmentation framework that automatically segments the kidney, kidney tumor, and cyst. Testing the proposed algorithm on the KiTS21 dataset, we achieve the mean dice of 0.6543 and the mean surface dice of 0.4658.