Development of a convolutional neural network to detect abdominal aortic aneurysms

OBJECTIVE: We sought to train a foundational convolutional neural network (CNN) for screening computed tomography (CT) angiography (CTA) scans for the presence of infrarenal abdominal aortic aneurysms (AAAs) for future predictive modeling and other artificial intelligence applications. METHODS: From...

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Detalles Bibliográficos
Autores principales: Camara, Justin R., Tomihama, Roger T., Pop, Andrew, Shedd, Matthew P., Dobrowski, Brandon S., Knox, Cole J., Abou-Zamzam, Ahmed M., Kiang, Sharon C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Innovative Techniques
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178344/
https://www.ncbi.nlm.nih.gov/pubmed/35692515
http://dx.doi.org/10.1016/j.jvscit.2022.04.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178344/
https://www.ncbi.nlm.nih.gov/pubmed/35692515
http://dx.doi.org/10.1016/j.jvscit.2022.04.003

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