PCB CT image element segmentation model based on boundary-attention-guided finetuning

This method improves the accuracy of boundary segmentation of PCB elements and the efficiency of feature fusion through attention mechanism, which has practical significance.

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Publication Details

Journal
Journal of X-Ray Science and Technology
Published
2024-12-24
DOI
https://doi.org/10.1177/08953996241303366
Primary Topic
Medical Image Segmentation Techniques
Type
article
Field-Weighted Citation Impact
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article

PCB CT image element segmentation model based on boundary-attention-guided finetuning

Kai Qiao, Jian Chen, Chen Chen, Jie Yang et al.
Journal of X-Ray Science and Technology
Medical Image Segmentation Techniques
article

PCB CT image element segmentation model based on boundary-attention-guided finetuning

Kai Qiao, Jian Chen, Chen Chen, Jie Yang, Bin Yan
article en

Abstract

This method improves the accuracy of boundary segmentation of PCB elements and the efficiency of feature fusion through attention mechanism, which has practical significance.

Journal of X-Ray Science and TechnologyVol. 33(1)
PLA Information Engineering University (CN)
Openalex Percentile: Top 76%
Medical Image Segmentation Techniques
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