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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Detalles Bibliográficos
Autores principales: Talebi, Salmonn, Madani, Mohammad H., Madani, Ali, Chien, Ashley, Shen, Jody, Mastrodicasa, Domenico, Fleischmann, Dominik, Chan, Frandics P., Mofrad, Mohammad R. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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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