A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot

BACKGROUND: Cardiac shape modeling is a useful computational tool that has provided quantitative insights into the mechanisms underlying dysfunction in heart disease. The manual input and time required to make cardiac shape models, however, limits their clinical utility. Here we present an end-to-en...

Descripción completa

Detalles Bibliográficos
Autores principales: Govil, Sachin, Crabb, Brendan T., Deng, Yu, Dal Toso, Laura, Puyol-Antón, Esther, Pushparajah, Kuberan, Hegde, Sanjeet, Perry, James C., Omens, Jeffrey H., Hsiao, Albert, Young, Alistair A., McCulloch, Andrew D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Technical Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969707/
https://www.ncbi.nlm.nih.gov/pubmed/36849960
http://dx.doi.org/10.1186/s12968-023-00924-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969707/
https://www.ncbi.nlm.nih.gov/pubmed/36849960
http://dx.doi.org/10.1186/s12968-023-00924-1

Ejemplares similares