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An evaluation of U-Net in Renal Structure Segmentation

2022-09-06 06:53:41
Haoyu Wang, Ziyan Huang, Jin Ye, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Chenglong Ma, Jingqi Niu, Junjun He
arXiv_CV
     
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.

Abstract (translated)

URL

https://arxiv.org/abs/2209.02247

PDF

https://arxiv.org/pdf/2209.02247.pdf

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