App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 12

Ureter segmentation network fusing multi-scale features and boundary awareness

Chen Lin
Xu Chao
Li Zhengping
School of Integrated Circuits, Anhui University, Hefei 230601, China
DOI: 10.19734/j.issn.1001-3695.2026.01.0090

Abstract

Addressing the challenges of segmenting slender structures such as ureters in endoscopic images, which include fuzzy boundaries, weak textures, and structural discontinuities, research was conducted on integrating multi-scale feature modulation with boundary awareness. A ureter segmentation network, BAPSNet, was developed, employing a lightweight Pyramid Vision Transformer v2 (PVTv2) combined with GhostModule as the encoder. Multi-scale feature pyramid (CFPM) and feature cascade fusion (FCM) modules were incorporated to enhance semantic alignment, while a learnable boundary enhancement module (LBEM) was applied to recover fine-grained structures. In addition, a multi-threshold reverse attention module (MTRA) was used to improve boundary recognition. Experiments on the Ureter dataset achieved a Dice score of 0.9052 and a Hausdorff distance of 9.21, while on the CVC-ClinicDB dataset Dice reached 0.9273 and on the CVC-300 dataset the Hausdorff distance was 4.9926. Compared with mainstream methods, BAPSNet obtained competitive performance on most datasets and boundary-sensitive metrics, demonstrating its capability for high-precision segmentation of slender structures in endoscopic images.

Foundation Support

国家重点研发项目(2019YFC0117800)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.01.0090
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 12

Publish History

[2026-07-29] Accepted Paper

Cite This Article

陈琳, 徐超, 李正平. 融合多尺度特征与边界感知的输尿管分割网络 [J]. 计算机应用研究, 2026, 43 (12). (2026-08-25). https://doi.org/10.19734/j.issn.1001-3695.2026.01.0090. (Chen Lin, Xu Chao, Li Zhengping. Ureter segmentation network fusing multi-scale features and boundary awareness [J]. Application Research of Computers, 2026, 43 (12). (2026-08-25). https://doi.org/10.19734/j.issn.1001-3695.2026.01.0090. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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