most citedAutomatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

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…