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

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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Detalhes bibliográficos
Principais autores: Roger T. Tomihama, MD, Justin R. Camara, MD, Sharon C. Kiang, MD
Formato: Artigo
Idioma:English
Publicado em: Elsevier 2023-01-01
coleção:JVS - Vascular Science
Assuntos:
Artificial intelligence
Convolutional neural network
Abdominal aortic aneurysms
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2666350322000840

Internet

http://www.sciencedirect.com/science/article/pii/S2666350322000840

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