Machine-learning integration of CT histogram analysis to evaluate the composition of atherosclerotic plaques: Validation with IB-IVUS.

Takanori Masuda,Takeshi Nakaura,Yoshinori Funama,Tomokazu Okimoto,Tomoyasu Sato,Toru Higaki, Noritaka Noda,Naoyuki Imada,Yasutaka Baba,Kazuo Awai

Journal of Cardiovascular Computed Tomography（2019）

引用 35|浏览24

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摘要

The machine learning-was superior the conventional cut-off method for coronary plaque characterization using the plaque CT number on CCTA images.

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关键词

Machine learning,Coronary plaque,Coronary CT angiography,Extreme gradient boosting (XGBoost),Integrated backscatter intravascular ultrasound (IB-IVUS)

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