HIGHLIGHTS
- who: Na Han et al. from the Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China have published the research: Imaging and Hemodynamic Characteristics of Vulnerable Carotid Plaques and Artificial Intelligence Applications in Plaque Classification and Segmentation, in the Journal: (JOURNAL)
- how: The results showed that seven radiomic features from T1WIs and three from T1WI-CE images were independently associated with plaque stability. The results showed that the histogramdefined coefficient of variation (CV) on T1WIs was an independent predictive parameter for classifying the type of plaques where the sensitivity specificity and accuracy were 0 . . .
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