Histogram-Based Discrimination of Intravenous Contrast in Abdominopelvic Computed Tomography.

Journal: Journal of computer assisted tomography

PMID: 26760194

Abstract

OBJECTIVE: The aim of this study was to evaluate the accuracy of fully automated machine learning methods for detecting intravenous contrast in computed tomography (CT) studies of the abdomen and pelvis.

Authors

Phillip M Cheng

From the Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA.

Keywords

Administration, Intravenous Algorithms Artificial Intelligence Contrast Media Humans Logistic Models Pelvis Radiographic Image Enhancement Radiography, Abdominal Reproducibility of Results Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (26760194)

Histogram-Based Discrimination of Intravenous Contrast in Abdominopelvic Computed Tomography.

Abstract

Authors

Keywords

External Resources

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