A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs
MLMI@MICCAI, pp. 583-591, 2019.
We present an end-to-end deep learning segmentation method by combining a 3D UNet architecture with a graph neural network (GNN) model. In this approach, the convolutional layers at the deepest level of the UNet are replaced by a GNN-based module with a series of graph convolutions. The dense feature maps at this level are transformed int...More
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