Estimation of Cardiac Short Axis Slice Levels with a Cascaded Deep Convolutional and Recurrent Neural Network Model

Automatic identification of short axis slice levels in cardiac magnetic resonance imaging (MRI) is important in efficient and precise diagnosis of cardiac disease based on the geometry of the left ventricle. We developed a combined model of convolutional neural network (CNN) and recurrent neural net...

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Detalles Bibliográficos
Autores principales: Ho, Namgyu, Kim, Yoon-Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680453/
https://www.ncbi.nlm.nih.gov/pubmed/36412688
http://dx.doi.org/10.3390/tomography8060229

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680453/
https://www.ncbi.nlm.nih.gov/pubmed/36412688
http://dx.doi.org/10.3390/tomography8060229

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