Machine deep learning accurately detects endoleak after endovascular abdominal aortic aneurysm repair

OBJECTIVE: The objective of this study was to develop a machine deep learning algorithm for endoleak detection and measurement of aneurysm diameter, area, and volume from computed tomography angiography (CTA). METHODS: Digital Imaging and Communications in Medicine files representing three-phase pos...

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Detalles Bibliográficos
Autores principales: Hahn, Sage, Perry, Mark, Morris, Christopher S., Wshah, Safwan, Bertges, Daniel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Basic Reserch Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489204/
https://www.ncbi.nlm.nih.gov/pubmed/34617036
http://dx.doi.org/10.1016/j.jvssci.2019.12.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489204/
https://www.ncbi.nlm.nih.gov/pubmed/34617036
http://dx.doi.org/10.1016/j.jvssci.2019.12.003

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