Texture Analysis and Machine Learning for Detecting Myocardial Infarction in Noncontrast Low-Dose Computed Tomography: Unveiling the Invisible
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. In this institutional review board-approved retrospective study, we included non-co...
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Published in | Investigative radiology Vol. 53; no. 6; p. 338 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
01.06.2018
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Online Access | Get more information |
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