Myocardial Segmentation of Tagged Magnetic Resonance Images with Transfer Learning Using Generative Cine-To-Tagged Dataset Transformation

The use of deep learning (DL) segmentation in cardiac MRI has the potential to streamline the radiology workflow, particularly for the measurement of myocardial strain. Recent efforts in DL motion tracking models have drastically reduced the time needed to measure the heart’s displacement field and...

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Detalles Bibliográficos
Autores principales: Dhaene, Arnaud P., Loecher, Michael, Wilson, Alexander J., Ennis, Daniel B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952238/
https://www.ncbi.nlm.nih.gov/pubmed/36829660
http://dx.doi.org/10.3390/bioengineering10020166

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952238/
https://www.ncbi.nlm.nih.gov/pubmed/36829660
http://dx.doi.org/10.3390/bioengineering10020166

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