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TCT-342 DeepIVUS: A Machine Learning Platform for Fully Automatic IVUS Segmentation and Phenotyping

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Image interpretation remains an obstacle for increased use of intravascular ultrasound (IVUS) in the catheterization laboratory. Accurate measurement of lumen area allows for appropriate stent selection, whereas detailed knowledge of… Click to show full abstract

Image interpretation remains an obstacle for increased use of intravascular ultrasound (IVUS) in the catheterization laboratory. Accurate measurement of lumen area allows for appropriate stent selection, whereas detailed knowledge of plaque phenotype can inform the clinician on post–percutaneous

Keywords: 342 deepivus; machine learning; ivus; learning platform; tct 342; deepivus machine

Journal Title: Journal of the American College of Cardiology
Year Published: 2019

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