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Found 2 papers, 1 papers with code
Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks
This paper presents a fully automatic and end-to-end optimised airway segmentation method for thoracic computed tomography, based on the U-Net architecture.
Automatic Airway Segmentation in chest CT using Convolutional Neural Networks
However, obtaining an accurate segmentation of airways from CT scans is difficult due to the high complexity of airway structures.
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