MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study

MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study

Abstract Background Mitral annular plane systolic excursion (MAPSE) and left ventricular (LV) early diastolic velocity (e’) are key metrics of systolic and diastolic function, but not often measured by cardiovascular magnetic resonance (CMR). Its derivation is possible with manual, precise annotatio...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Ricardo A. Gonzales, Felicia Seemann, Jérôme Lamy, Hamid Mojibian, Dan Atar, David Erlinge, Katarina Steding-Ehrenborg, Håkan Arheden, Chenxi Hu, John A. Onofrey, Dana C. Peters, Einar Heiberg
Formato: article
Lenguaje:EN
Publicado: BMC 2021
Materias:
Left ventricular dysfunction
Annotation
Residual neural networks
Diseases of the circulatory (Cardiovascular) system
RC666-701
Acceso en línea:https://doaj.org/article/51c36b8cfc70449b9be8ef86d76f3d88
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

https://doaj.org/article/51c36b8cfc70449b9be8ef86d76f3d88

Ejemplares similares