A U-Shaped Network Based on Multi-level Feature and Dual-Attention Coordination Mechanism for Coronary Artery Segmentation of CCTA Images

Purpose Computed tomography coronary angiography (CCTA) images provide optimal visualization of coronary arteries to aid in diagnosing coronary heart disease (CHD). With the deep convolutional neural network, this work aims to develop an intelligent and lightweight coronary artery segmentation algor...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Cardiovascular engineering and technology 2023-06, Vol.14 (3), p.380-392
Hauptverfasser:	Hong, Peng, Du, Yong, Chen, Dongming, Peng, Chengbao, Yang, Benqiang, Xu, Lisheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Angiography Arteries Artificial neural networks Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedical Engineering/Biotechnology Biomedicine Blood flow Cardiology Cardiovascular disease Computed tomography Coordination Coronary vessels Heart diseases Image segmentation Learning Medical imaging Original Article Veins & arteries
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!