Cargando…
Automated classification of dense calcium tissues in gray-scale intravascular ultrasound images using a deep belief network
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 IVUS an...
Autores principales: | Lee, Juhwan, Hwang, Yoo Na, Kim, Ga Young, Kwon, Ji Yean, Kim, Sung Min |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937730/ https://www.ncbi.nlm.nih.gov/pubmed/31888535 http://dx.doi.org/10.1186/s12880-019-0403-8 |
Ejemplares similares
-
A novel intensity-based multi-level classification approach for coronary plaque characterization in intravascular ultrasound images
por: Kim, Ga Young, et al.
Publicado: (2018) -
Automated Breast Ultrasound Screening for Dense Breasts
por: Kim, Sung Hun, et al.
Publicado: (2020) -
Analysis of Cardiovascular Tissue Components for the Diagnosis of Coronary Vulnerable Plaque from Intravascular Ultrasound Images
por: Lee, Ju Hwan, et al.
Publicado: (2017) -
The Prognostic Value of a Validated and Automated Intravascular Ultrasound-Derived Calcium Score
por: Neleman, Tara, et al.
Publicado: (2021) -
Automated Segmentation of Microvessels in Intravascular OCT Images Using Deep Learning
por: Lee, Juhwan, et al.
Publicado: (2022)