Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 4
1256-1262

Spinal image segmentation method with multi-attention

Pu Zhong
Zhang Junhua
Huang Kun
Zhou Qihao
School of Information Science & Engineering, Yunnan University, Kunming 650500, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0409

Abstract

Considering the existing spinal computer tomography(CT) and magnetic resonance(MR) image segmentation models have limitations in segmentation performance, this paper proposed a spinal segmentation method MAU-Net based on U-shaped network. Firstly, this paper introduced coordinate attention module into the encoder of U-shaped network, which enabled the network accurately capture the spatial position information and embedded it into the channel attention. Secondly, this paper proposed dual-branch channel cross fusion module based on Transformer, it could replace the skip connection for multi-scale feature fusion. Finally, this paper proposed a feature fusion attention module to better fuse the semantic differences between Transformer and Convolution network. On scoliosis CT dataset, Dice reached 0.929 6, IoU reached 0.859 7. On the public MR dataset SpineSagT2Wdataset3, compared with FCN, Dice improved by 14.46%. Experimental results show that this method can effectively reduce the false segmentation area of vertebrae.

Foundation Support

国家自然科学基金资助项目(62063034)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0409
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 4
Section: Technology of Graphic & Image
Pages: 1256-1262
Serial Number: 1001-3695(2023)04-048-1256-07

Publish History

[2022-10-27] Accepted Paper
[2023-04-05] Printed Article

Cite This Article

普钟, 张俊华, 黄昆, 等. 融合多注意力机制的脊椎图像分割方法 [J]. 计算机应用研究, 2023, 40 (4): 1256-1262. (Pu Zhong, Zhang Junhua, Huang Kun, et al. Spinal image segmentation method with multi-attention [J]. Application Research of Computers, 2023, 40 (4): 1256-1262. )

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  • 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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