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An evaluation of U-Net in Renal Structure Segmentation
Published 6 Sep 2022 in eess.IV, cs.CV, and cs.LG | (2209.02247v1)
Abstract: Renal structure segmentation from computed tomography angiography~(CTA) is essential for many computer-assisted renal cancer treatment applications. Kidney PArsing~(KiPA 2022) Challenge aims to build a fine-grained multi-structure dataset and improve the segmentation of multiple renal structures. Recently, U-Net has dominated the medical image segmentation. In the KiPA challenge, we evaluated several U-Net variants and selected the best models for the final submission.
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