Abstract No. 478 Feasibility of artificial intelligence detection and classification of inferior vena cava filters on x-ray imaging

To assess the feasibility of deep learning detection and classification of three retrievable IVC filters with similar radiographic appearances using the fast.ai library, and to visualize feature detection with saliency maps

Source: Journal of Vascular and Interventional Radiology : JVIR - February 20, 2020 Category: Radiology Authors: B. Park, S. Stavropoulos, T. Cook, G. Nadolski, T. Gade, S. Hunt Tags: Scientific e-Poster Source Type: research