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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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