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Automatic Segmentation and Assessment of Valvular Regurgitations with Color Doppler Echocardiography Images: A VABC-UNet-Based Framework

This study investigated the automatic segmentation and classification of mitral regurgitation (MR) and tricuspid regurgitation (TR) using a deep learning-based method, aiming to improve the efficiency and accuracy of diagnosis of valvular regurgitations. A VABC-UNet model was proposed consisting of...

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Detalles Bibliográficos
Autores principales:	Huang, Jun, Huang, Aiyue, Xu, Ruqin, Wu, Musheng, Wang, Peng, Wang, Qing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669048/ https://www.ncbi.nlm.nih.gov/pubmed/38002443 http://dx.doi.org/10.3390/bioengineering10111319

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