Towards fully automated segmentation of rat cardiac MRI by leveraging deep learning frameworks
Abstract Automated segmentation of human cardiac magnetic resonance datasets has been steadily improving during recent years. Similar applications would be highly useful to improve and speed up the studies of cardiac function in rodents in the preclinical context. However, the transfer of such segme...
| Auteurs principaux: | , , , , , , , |
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| Format: | Article |
| Langue: | English |
| Publié: |
Nature Portfolio
2022-06-01
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| Collection: | Scientific Reports |
| Accès en ligne: | https://doi.org/10.1038/s41598-022-12378-z |