Linking Convolutional Neural Networks with Graph Convolutional Networks: Application in Pulmonary Artery-Vein Separation

• Published in: Graph Learning in Medical Imaging Vol. 11849; pp. 36 - 43
• Main Authors: Zhai, Zhiwei, Staring, Marius, Zhou, Xuhui, Xie, Qiuxia, Xiao, Xiaojuan, Els Bakker, M., Kroft, Lucia J., Lelieveldt, Boudewijn P. F., Boon, Gudula J. A. M., Klok, Frederikus A., Stoel, Berend C.
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2019; Springer International Publishing
• Series: Lecture Notes in Computer Science

Graph Convolutional Networks (GCNs) are a novel and powerful method for dealing with non-Euclidean data, while Convolutional Neural Networks (CNNs) can learn features from Euclidean data such as images. In this work, we propose a novel method to combine CNNs with GCNs (CNN-GCN), that can consider bo...