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eess.IV2021★ 5 cited
Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks
A. Garcia-Uceda, R. Selvan, Z. Saghir +2
This paper presents a fully automatic and end-to-end optimised airway segmentation method for thoracic computed tomography, based on the U-Net architecture. We use a simple and low…
eess.IV2019
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs
Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir +1
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 a…