Extraction of Airways using Graph Neural Networks

Raghavendra Selvan, Thomas Kipf, Max Welling, Jesper H. Pedersen, Jens Petersen, Marleen de Bruijne

Apr 11, 2018 MIDL 2018 Abstract Submission readers: everyone
  • Abstract: We present extraction of tree structures, such as airways, from image data as a graph refinement task. To this end, we propose a graph auto-encoder model that uses an encoder based on graph neural networks (GNNs) to learn embeddings from input node features and a decoder to predict connections between nodes. Performance of the GNN model is compared with mean-field networks in their ability to extract airways from 3D chest CT scans.
  • Keywords: Graph Neural Networks, Airways
  • Author affiliation: University of Copenhagen, University of Amsterdam, University Hospital of Copenhagen, Canadian Institute for Advanced Research, Erasmus MC Rotterdam
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