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Machine learning for endoleak detection after endovascular aortic repair
Diagnosis of endoleak following endovascular aortic repair (EVAR) relies on manual review of multi-slice CT angiography (CTA) by physicians which is a tedious and time-consuming process that is susceptible to error. We evaluate the use of a deep neural network for the detection of endoleak on CTA fo...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7591558/ https://ncbi.nlm.nih.gov/pubmed/33110113 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-74936-7 |
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