Development of artificial intelligence in epicardial and pericoronary adipose tissue imaging: a systematic review
Abstract Background Artificial intelligence (AI) technology has been increasingly developed and studied in cardiac imaging. This systematic review summarizes the latest progress of image segmentation, quantification, and the clinical application of AI in evaluating cardiac adipose tissue. Methods We...
Main Authors: | Lu Zhang, Jianqing Sun, Beibei Jiang, Lingyun Wang, Yaping Zhang, Xueqian Xie |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-07-01
|
Series: | European Journal of Hybrid Imaging |
Subjects: | |
Online Access: | https://doi.org/10.1186/s41824-021-00107-0 |
Similar Items
-
Epicardial and Pericoronary Adipose Tissue, Coronary Inflammation, and Acute Coronary Syndromes
by: Gianluigi Napoli, et al.
Published: (2023-11-01) -
Epicardial adipose tissue and pericoronary fat thickness measured with 64-multidetector computed tomography: potential predictors of the severity of coronary artery disease
by: Muhammed Bora Demircelik, et al.
Published: (2014-06-01) -
PPAR-γ gene expression in pericoronary adipose tissue: A focus on obesity
by: Maria Marketou, et al.
Published: (2023-01-01) -
Association of Pericoronary Adipose Tissue Quality Determined by Dual-Layer Spectral Detector CT With Severity of Coronary Artery Disease: A Preliminary Study
by: Yuxue Dang, et al.
Published: (2021-09-01) -
Evaluation of epicardial adipose tissue by coronary multi-detector computed tomography: an independent predictor of obstructive coronary artery disease
by: Maryam Moradi, et al.
Published: (2023-04-01)