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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669048/
https://www.ncbi.nlm.nih.gov/pubmed/38002443
http://dx.doi.org/10.3390/bioengineering10111319

Ejemplares similares