Automatic Assessment of Mitral Regurgitation Severity Using the Mask R-CNN Algorithm with Color Doppler Echocardiography Images

Accurate assessment of mitral regurgitation (MR) severity is critical in clinical diagnosis and treatment. No single echocardiographic method has been recommended for MR quantification thus far. We sought to define the feasibility and accuracy of the mask regions with a convolutional neural network...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Qinglu, Liu, Yuanqin, Mi, Jia, Wang, Xing, Liu, Xia, Zhao, Fenfen, Xie, Cuihuan, Cui, Peipei, Zhang, Qingling, Zhu, Xiangming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452404/
https://www.ncbi.nlm.nih.gov/pubmed/34552659
http://dx.doi.org/10.1155/2021/2602688

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452404/
https://www.ncbi.nlm.nih.gov/pubmed/34552659
http://dx.doi.org/10.1155/2021/2602688

Ejemplares similares