Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation

The analysis and interpretation of cardiac magnetic resonance (CMR) images are often time-consuming. The automated segmentation of cardiac structures can reduce the time required for image analysis. Spatial similarities between different CMR image types were leveraged to jointly segment multiple seq...

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Detalles Bibliográficos
Autores principales: Chen, David, Bhopalwala, Huzefa, Dewaswala, Nakeya, Arunachalam, Shivaram P., Enayati, Moein, Farahani, Nasibeh Zanjirani, Pasupathy, Kalyan, Lokineni, Sravani, Bos, J. Martijn, Noseworthy, Peter A., Arsanjani, Reza, Erickson, Bradley J., Geske, Jeffrey B., Ackerman, Michael J., Araoz, Philip A., Arruda-Olson, Adelaide M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144248/
https://www.ncbi.nlm.nih.gov/pubmed/35621913
http://dx.doi.org/10.3390/jimaging8050149

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144248/
https://www.ncbi.nlm.nih.gov/pubmed/35621913
http://dx.doi.org/10.3390/jimaging8050149

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