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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...
Autores principales: | Talebi, Salmonn, Madani, Mohammad H., Madani, Ali, Chien, Ashley, Shen, Jody, Mastrodicasa, Domenico, Fleischmann, Dominik, Chan, Frandics P., Mofrad, Mohammad R. K. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591558/ https://www.ncbi.nlm.nih.gov/pubmed/33110113 http://dx.doi.org/10.1038/s41598-020-74936-7 |
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