Deep learning based motion correction in ultrasound microvessel imaging approach improves thyroid nodule classification
Abstract To address inter-frame motion artifacts in ultrasound quantitative high-definition microvasculature imaging (qHDMI), we introduced a novel deep learning-based motion correction technique. This approach enables the derivation of more accurate quantitative biomarkers from motion-corrected HDM...
Furkejuvvon:
| Váldodahkkit: | , , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
Nature Portfolio
2025-05-01
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| Ráidu: | Scientific Reports |
| Liŋkkat: | https://doi.org/10.1038/s41598-025-02728-y |
| Fáddágilkorat: |
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