Automated classification of dense calcium tissues in gray-scale intravascular ultrasound images using a deep belief network

Automated classification of dense calcium tissues in gray-scale intravascular ultrasound images using a deep belief network

Abstract Background IVUS is widely used to quantitatively assess coronary artery disease. The purpose of this study was to automatically characterize dense calcium (DC) tissue in the gray scale intravascular ultrasound (IVUS) images using the image textural features. Methods A total of 316 Gy-scale...

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Bibliographic Details
Main Authors: Juhwan Lee, Yoo Na Hwang, Ga Young Kim, Ji Yean Kwon, Sung Min Kim
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Medical Imaging
Subjects:
Intravascular ultrasound
Dense calcium
Textural feature
Deep belief network
Online Access:https://doi.org/10.1186/s12880-019-0403-8

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