Texture Analysis and Machine Learning for Detecting Myocardial Infarction in Noncontrast Low-Dose Computed Tomography: Unveiling the Invisible.

Journal: Investigative radiology

Published Date: Jun 1, 2018

Abstract

OBJECTIVES: The aim of this study was to test whether texture analysis and machine learning enable the detection of myocardial infarction (MI) on non-contrast-enhanced low radiation dose cardiac computed tomography (CCT) images.

Authors

Manoj Mannil
Jochen von Spiczak
Robert Manka
Hatem Alkadhi

Keywords

Adult Aged Aged, 80 and over Cluster Analysis Diagnosis, Differential Female Heart Humans Machine Learning Male Middle Aged Myocardial Infarction Radiation Dosage Reproducibility of Results Retrospective Studies Sensitivity and Specificity Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (29420321)

Texture Analysis and Machine Learning for Detecting Myocardial Infarction in Noncontrast Low-Dose Computed Tomography: Unveiling the Invisible.

Abstract

Authors

Keywords

External Resources

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