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...
I tiakina i:
| Ngā kaituhi matua: | , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Nature Portfolio
2025-05-01
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| Rangatū: | Scientific Reports |
| Urunga tuihono: | https://doi.org/10.1038/s41598-025-02728-y |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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