Deep-learning-based sampling position selection on color Doppler sonography images during renal arte...
Deep-learning-based sampling position selection on color Doppler sonography images during renal artery ultrasound scanning
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Contents
Accurate selection of sampling positions is critical in renal artery ultrasound examinations, and the potential of utilizing deep learning (DL) for assisting in this selection has not been previously evaluated. This study aimed to evaluate the effectiveness of DL object detection technology applied to color Doppler sonography (CDS) images in assist...
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Full title
Deep-learning-based sampling position selection on color Doppler sonography images during renal artery ultrasound scanning
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TN_cdi_doaj_primary_oai_doaj_org_article_8948ceaa50e54911900d557db8185568
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8948ceaa50e54911900d557db8185568
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-60355-5
