Wavelet-based U-shape network for bioabsorbable vascular stents segmentation in IVOCT images

The introduction of the Wavelet-based U-shape network marks a substantial improvement in the segmentation of BVSs in IVOCT images, suggesting potential benefits for clinical practices in coronary artery disease treatment. This approach may also be applicable to other intricate medical imaging segmentation tasks, indicating a broad scope for future research.

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Publication Details

Journal
Frontiers in Physiology
Published
2024-08-15
DOI
https://doi.org/10.3389/fphys.2024.1454835
Citations
6
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
3.44
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article

Wavelet-based U-shape network for bioabsorbable vascular stents segmentation in IVOCT images

Quan Lan, Chenxi Huang, Bin Yang, Mingfeng Lin et al.
6 citations
Frontiers in Physiology
Coronary Interventions and Diagnostics
3.44
article

Wavelet-based U-shape network for bioabsorbable vascular stents segmentation in IVOCT images

Quan Lan, Chenxi Huang, Bin Yang, Mingfeng Lin, Yuexin Yu
article en
6 citations

Abstract

The introduction of the Wavelet-based U-shape network marks a substantial improvement in the segmentation of BVSs in IVOCT images, suggesting potential benefits for clinical practices in coronary artery disease treatment. This approach may also be applicable to other intricate medical imaging segmentation tasks, indicating a broad scope for future research.

Frontiers in PhysiologyVol. 15
Xiamen University (CN), First Affiliated Hospital of Xiamen University (CN), Zhengzhou People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 7%
Coronary Interventions and Diagnostics
3.44
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