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...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Manali Saini, Nicholas B. Larson, Mostafa Fatemi, Azra Alizad
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-05-01
Online Access:	https://doi.org/10.1038/s41598-025-02728-y