Deep vessel segmentation by learning graphical connectivity

•A graph neural network (GNN) can learn global vascular structures in medical images.•A CNN only learns local appearances on the regular image grid and thus can be limited.•The vessel graph network (VGN) combines a GNN into a comprehensive CNN architecture.•The VGN jointly learns both local appearan...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Medical image analysis 2019-12, Vol.58, p.101556-101556, Article 101556
Hauptverfasser:	Shin, Seung Yeon, Lee, Soochahn, Yun, Il Dong, Lee, Kyoung Mu
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Angiography Architecture Blood vessels Convolutional neural network Coronary artery Datasets Graph neural network Graph neural networks Image segmentation Machine learning Neural networks Retina Retinal images Vessel graph network Vessel segmentation
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!