Deep-Learning for Automated Classification of Inferior Vena Cava Filter Types on Radiographs
To demonstrate the feasibility and evaluate the performance of a deep-learning convolutional neural network (CNN) classification model for automated identification of different types of inferior vena cava (IVC) filters on radiographs.
Source: Journal of Vascular and Interventional Radiology : JVIR - Category: Radiology Authors: Jason C. Ni, Katie Shpanskaya, Michelle Han, Edward H. Lee, Bao H. Do, William T. Kuo, Kristen W. Yeom, David S. Wang Tags: Laboratory Investigation Source Type: research
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