Convolutional Neural Network for the Detection of End-Diastole and End-Systole Frames in Free-Breathing Cardiac Magnetic Resonance Imaging

Free-breathing cardiac magnetic resonance (CMR) imaging has short examination time with high reproducibility. Detection of the end-diastole and the end-systole frames of the free-breathing cardiac magnetic resonance, supplemented by visual identification, is time consuming and laborious. We propose...

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Detalles Bibliográficos
Autores principales: Yang, Fan, He, Yan, Hussain, Mubashir, Xie, Hong, Lei, Pinggui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5549469/
https://www.ncbi.nlm.nih.gov/pubmed/28814965
http://dx.doi.org/10.1155/2017/1640835

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5549469/
https://www.ncbi.nlm.nih.gov/pubmed/28814965
http://dx.doi.org/10.1155/2017/1640835

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