Machine learning analysis of confounding variables of a convolutional neural network specific for abdominal aortic aneurysms

OBJECTIVE: To identify confounding variables influencing the accuracy of a convolutional neural network (CNN) specific for infrarenal abdominal aortic aneurysms (AAAs) on computed tomography angiograms (CTAs). METHODS: A Health Insurance Portability and Accountability Act-compliant, institutional re...

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Detalles Bibliográficos
Autores principales: Tomihama, Roger T., Camara, Justin R., Kiang, Sharon C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245322/
https://www.ncbi.nlm.nih.gov/pubmed/37292186
http://dx.doi.org/10.1016/j.jvssci.2022.11.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245322/
https://www.ncbi.nlm.nih.gov/pubmed/37292186
http://dx.doi.org/10.1016/j.jvssci.2022.11.004

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