您当前的位置:
首页 >
文章列表页 >
Computed tomography image segmentation of cell pole piece via strip attention mechanism
Information Sciences | 更新时间:2025-02-11
|
    • Computed tomography image segmentation of cell pole piece via strip attention mechanism

    • In the field of industrial computed tomography imaging technology, experts have proposed a battery cell pole slice CT image segmentation network that integrates strip attention mechanism, significantly improving the accuracy and efficiency of pole slice segmentation.
    • Optics and Precision Engineering   Vol. 32, Issue 23, Pages: 3525-3535(2024)
    • DOI:10.37188/OPE.20243223.3525    

      CLC: TP391.41
    • Received:28 July 2024

      Revised:22 September 2024

      Published:10 December 2024

    移动端阅览

  • LIU Zefang,LONG Chao,LIU Xueshuan,et al.Computed tomography image segmentation of cell pole piece via strip attention mechanism[J].Optics and Precision Engineering,2024,32(23):3525-3535. DOI: 10.37188/OPE.20243223.3525.

  •  
  •  

0

Views

20

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

YOLOv8 model-based additive manufacturing micro porosity defect detection and its dimension measurement
3DRes-ViT knee osteoarthritis classification model based on multimodal fusion
Degradation remote sensing image quality enhancement based on frequency-domain-spatial-domain hybrid attention
Rotating point cloud segmentation and reverse reconstruction based on computed tomography images
Lightweight video super-resolution based on hybrid spatio-temporal convolution

Related Author

CAI Yindi
ZHANG Dianpeng
SUN Zimeng
WANG Yuxuan
ZHU Xianglong
KANG Renke
SONG Yu
XU Rui

Related Institution

College of Mechanical Engineering, Dalian University of Technology
College of Computer Science and Engineering, Changchun University of Technology
Information Department, Jilin Qianwei Hospital
Laboratory of Science and Technology on Integrated Information System, Institute of Software, Chinese Academy of Sciences
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences
0