Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment

BACKGROUND: Segmentation of cardiovascular magnetic resonance (CMR) images is an essential step for evaluating dimensional and functional ventricular parameters as ejection fraction (EF) but may be limited by artifacts, which represent the major challenge to automatically derive clinical information...

Descripción completa

Detalles Bibliográficos
Autores principales: Penso, Marco, Babbaro, Mario, Moccia, Sara, Guglielmo, Marco, Carerj, Maria Ludovica, Giacari, Carlo Maria, Chiesa, Mattia, Maragna, Riccardo, Rabbat, Mark G., Barison, Andrea, Martini, Nicola, Pepi, Mauro, Caiani, Enrico G., Pontone, Gianluca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703740/
https://www.ncbi.nlm.nih.gov/pubmed/36437452
http://dx.doi.org/10.1186/s12968-022-00899-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703740/
https://www.ncbi.nlm.nih.gov/pubmed/36437452
http://dx.doi.org/10.1186/s12968-022-00899-5

Ejemplares similares