App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 10

Medical image segmentation network based on self-partitioning lightweight Transformer

Zhang Wenjiea,b
Song Yantaoa,b
Wang Keqia,b
Zhang Yueb
a. Institute of Big Data Science & Industry, b. School of Computer & Information Technology, Shanxi University, Taiyuan 030006, China
DOI: 10.19734/j.issn.1001-3695.2023.11.0634

Abstract

The traditional medical image segmentation network has a large number of parameters and slow computing speed, and cannot applies effectively to the real-time detection technology. To address this issue, this paper proposes a lightweight medical image segmentation network called SPTFormer. Firstly, this network constructed a self-blocking Transformer module, which reshaped the feature map through an adaptive blocking strategy and utilizes parallel computing to improve the attention operation speed while paying attention to local detail features. Secondly, this network constructed an SR-CNN module, which used the shift-restored operation to improve the ability to capture local spatial information. By experimenting on ISIC 2018, BUSI, CVC-ClinicDB and 2018 Data Science Bowl, compared with the TransUNet model based on Transformer, the accuracy of the proposed network improved by 4.28%, 3.74%, 6.50%, and 1.16%, respectively, the GPU computation time reduced by 58%. The proposed network has better performance in medical image segmentation applications, which can well balance the network accuracy and complexity, and provides a new solution for real-time computer-aided diagnosis.

Foundation Support

山西省回国留学人员科研教研资助项目(2023-015)
国家自然科学基金资助项目(61906114)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.11.0634
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 10

Publish History

[2024-03-29] Accepted Paper

Cite This Article

张文杰, 宋艳涛, 王克琪, 等. 基于自分块轻量化Transformer的医学图像分割网络 [J]. 计算机应用研究, 2024, 41 (10). (2024-07-12). https://doi.org/10.19734/j.issn.1001-3695.2023.11.0634. (Zhang Wenjie, Song Yantao, Wang Keqi, et al. Medical image segmentation network based on self-partitioning lightweight Transformer [J]. Application Research of Computers, 2024, 41 (10). (2024-07-12). https://doi.org/10.19734/j.issn.1001-3695.2023.11.0634. )

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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.

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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