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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...
Autores principales: | Hahn, Sage, Perry, Mark, Morris, Christopher S., Wshah, Safwan, Bertges, Daniel J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
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 |
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