Development of a Three-Dimensional Carotid Ultrasound Image Segmentation Workflow for Improved Efficiency, Reproducibility and Accuracy in Measuring Vessel Wall and Plaque Volume and Thickness

Automated segmentation of carotid lumen-intima boundary (LIB) and media-adventitia boundary (MAB) by deep convolutional neural networks (CNN) from three-dimensional ultrasound (3DUS) images has made assessment and monitoring of carotid atherosclerosis more efficient than manual segmentation. However...

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Detalles Bibliográficos
Autores principales: Zhao, Yuan, Jiang, Mingjie, Chan, Wai Sum, Chiu, Bernard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603859/
https://www.ncbi.nlm.nih.gov/pubmed/37892947
http://dx.doi.org/10.3390/bioengineering10101217

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603859/
https://www.ncbi.nlm.nih.gov/pubmed/37892947
http://dx.doi.org/10.3390/bioengineering10101217

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