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Fully automatic deep learning trained on limited data for carotid artery segmentation from large image volumes
BACKGROUND: The objectives of this study were to develop a 3D convolutional deep learning framework (CarotidNet) for fully automatic segmentation of carotid bifurcations in computed tomography angiography (CTA) images and to facilitate the quantification of carotid stenosis and risk assessment of st...
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| Izdano u: | Quant Imaging Med Surg |
|---|---|
| Glavni autori: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
AME Publishing Company
2021
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7719941/ https://ncbi.nlm.nih.gov/pubmed/33392012 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/qims-20-286 |
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