Differentiation Between Anteroposterior and Posteroanterior Chest X-Ray View Position With Convolutional Neural Networks.

Journal: RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin

Published Date: Feb 1, 2021

Abstract

PURPOSE: Detection and validation of the chest X-ray view position with use of convolutional neural networks to improve meta-information for data cleaning within a hospital data infrastructure.

Authors

René Hosch

Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Germany.
Lennard Kroll

Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Germany.
Felix Nensa

Institute for AI in Medicine (IKIM), University Hospital Essen, 45131 Essen, Germany.
Sven Koitka

Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.

Keywords

Algorithms Area Under Curve Deep Learning Female Humans Male Neural Networks, Computer Patient Positioning Radiography Radiologists Retrospective Studies Thorax

External Resources

View on PubMed Access via DOI PubMed (32615636)

Differentiation Between Anteroposterior and Posteroanterior Chest X-Ray View Position With Convolutional Neural Networks.

Abstract

Authors

Keywords

External Resources

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