Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases

BACKGROUND: For the growing patient population with congenital heart disease (CHD), improving clinical workflow, accuracy of diagnosis, and efficiency of analyses are considered unmet clinical needs. Cardiovascular magnetic resonance (CMR) imaging offers non-invasive and non-ionizing assessment of C...

Descripción completa

Detalles Bibliográficos
Autores principales: Karimi-Bidhendi, Saeed, Arafati, Arghavan, Cheng, Andrew L., Wu, Yilei, Kheradvar, Arash, Jafarkhani, Hamid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706241/
https://www.ncbi.nlm.nih.gov/pubmed/33256762
http://dx.doi.org/10.1186/s12968-020-00678-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706241/
https://www.ncbi.nlm.nih.gov/pubmed/33256762
http://dx.doi.org/10.1186/s12968-020-00678-0

Ejemplares similares