App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 8

Lightfusionnet: lightweight w-shaped dual-branch fusion network for high-resolution liver CT segmentation

Gu Qun
Peng Haichao
School of Computer and Artificial Intelligence, Lanzhou University of Technology, Lanzhou 730050, China
DOI: 10.19734/j.issn.1001-3695.2025.11.0502

Abstract

This study addressed challenges in high-resolution liver CT segmentation, including large model size, high computational cost, and heavy resource requirements. A lightweight W-shaped dual-branch liver CT segmentation network (LightFusionNet) was developed. It combines global and local fusion encoding with dual-branch decoding to integrate global contextual information and local detailed features. A gating mechanism enables adaptive fusion of global and local features. Dynamic convolution, an efficient attention module, and a hybrid loss function were employed to reduce model parameters and computational load. Experiments were conducted on the LiTS dataset, a self-collected small-sample liver CT dataset, and another independent test set. Results show that LightFusionNet maintains high segmentation accuracy and robustness while significantly reducing model complexity. It demonstrates good cross-dataset generalization and meets the requirements of clinical high-resolution liver CT segmentation. This method provides an efficient and scalable solution for clinical applications that demand precise liver segmentation with limited computational resources.

Foundation Support

甘肃省科技专员专项基金资助项目(23CXGA0002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.11.0502
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 8

Publish History

[2026-04-22] Accepted Paper

Cite This Article

顾群, 彭海超. 面向高分辨率肝脏CT的轻量化W型双分支融合分割网络 [J]. 计算机应用研究, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0502. (Gu Qun, Peng Haichao. Lightfusionnet: lightweight w-shaped dual-branch fusion network for high-resolution liver CT segmentation [J]. Application Research of Computers, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0502. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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