SAUN: Stack attention U‐Net for left ventricle segmentation from cardiac cine magnetic resonance imaging

PURPOSE: Quantification of left ventricular (LV) volume, ejection fraction and myocardial mass from multi‐slice multi‐phase cine MRI requires accurate segmentation of the LV in many images. We propose a stack attention‐based convolutional neural network (CNN) approach for fully automatic segmentatio...

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Detalles Bibliográficos
Autores principales: Sun, Xiaowu, Garg, Pankaj, Plein, Sven, van der Geest, Rob J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8251605/
https://www.ncbi.nlm.nih.gov/pubmed/33544895
http://dx.doi.org/10.1002/mp.14752

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8251605/
https://www.ncbi.nlm.nih.gov/pubmed/33544895
http://dx.doi.org/10.1002/mp.14752

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