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Deep learning approach for the segmentation of aneurysmal ascending aorta
Diagnosis of ascending thoracic aortic aneurysm (ATAA) is based on the measurement of the maximum aortic diameter, but size is not a good predictor of the risk of adverse events. There is growing interest in the development of novel image-derived risk strategies to improve patient risk management to...
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| Publicat a: | Biomed Eng Lett |
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| Autors principals: | , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
The Korean Society of Medical and Biological Engineering
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7930147/ https://ncbi.nlm.nih.gov/pubmed/33747600 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13534-020-00179-0 |
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