App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 4

Trifusion-edge pvt: spatial-channel multi-scale fusion with edge enhancement for medical image segmentation

Liu Qu
Liu Sunjun
Wang Zheng
Tao Yiting
Li Gang
School of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, Sichuan, China
DOI: 10.19734/j.issn.1001-3695.2025.07.0291

Abstract

To address the limitation of Convolutional Neural Networks (CNNs) in capturing long-range dependencies due to their local receptive fields, this study incorporated a PVTv2 Transformer encoder for powerful global context modeling. Furthermore, to mitigate the Transformer's weaknesses in local context understanding and detail perception, the study designed three novel modules: the Residual Gated Cross-Attention Module (RGCAM) enhanced activation of relevant features and suppressed irrelevant information to strengthen both long-range and local contexts; the Multi-Kernel Parallel Convolution Attention Module (MKPCAM) fused spatial-channel attention with multi-scale convolutions to synergistically boost global dependency modeling; the Cascaded Edge-Enhanced Upsampling Module (CEEUM) hierarchically processed multi-scale edge information to improve detail perception. Experimental results on the Synapse dataset demonstrated that the proposed model achieved a DSC of 83.61% and HD95 of 15.13. The model also outperformed existing state-of-the-art methods across seven binary medical datasets. These findings validate the model's comprehensive advantages in global modeling, local semantic preservation, and detail recovery, and showcase its cross-dataset generalization capabilities.

Foundation Support

国家自然科学青年基金资助项目(62101358)
四川省科技计划重点研发计划项目(2023YFG0294)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.07.0291
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 4

Publish History

[2025-12-12] Accepted Paper

Cite This Article

刘衢, 刘孙俊, 王铮, 等. TriFusion-EdgePVT：融合空间通道多尺度特征与边缘增强的医学图像分割方法 [J]. 计算机应用研究, 2026, 43 (4). (2025-12-19). https://doi.org/10.19734/j.issn.1001-3695.2025.07.0291. (Liu Qu, Liu Sunjun, Wang Zheng, et al. Trifusion-edge pvt: spatial-channel multi-scale fusion with edge enhancement for medical image segmentation [J]. Application Research of Computers, 2026, 43 (4). (2025-12-19). https://doi.org/10.19734/j.issn.1001-3695.2025.07.0291. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)