A joint 3D UNet and graph neural network for airway segmentation yields a small, significant improvement in centreline false-negative distance over a 3D UNet baseline, with no significant change in Dice or completeness.
and Welling, M.: Semi-supervised classification with graph convolutional networks
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs
A joint 3D UNet and graph neural network for airway segmentation yields a small, significant improvement in centreline false-negative distance over a 3D UNet baseline, with no significant change in Dice or completeness.