Automated detection of IVC filters on radiographs with deep convolutional neural networks.

Purpose: To create an algorithm able to accurately detect IVC filters on radiographs without human assistance, capable of being used to screen radiographs to identify patients needing IVC filter retrieval. Methods: A primary dataset of 5225 images, 30% of which included IVC filters, was assembled an...

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Bibliographic Details

Published in:	Abdominal Radiology Vol. 48; no. 2; pp. 758 - 765
Main Authors:	Mongan, John, Kohli, Marc D., Houshyar, Roozbeh, Chang, Peter D., Glavis-Bloom, Justin, Taylor, Andrew G.
Format:	Journal Article
Published:	Springer Nature Feb2023
Online Access:	View this record in EBSCOhost