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...

Full description

Bibliographic Details
Main Authors: Roger T. Tomihama, MD, Justin R. Camara, MD, Sharon C. Kiang, MD
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:JVS - Vascular Science
Subjects:
Artificial intelligence
Convolutional neural network
Abdominal aortic aneurysms
Online Access:http://www.sciencedirect.com/science/article/pii/S2666350322000840

Internet

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

Similar Items