Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks

Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks

Abstract 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-memory 3D U-Net as backbone, which allows the method to process large 3D image patches, often comprising full...

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Bibliographic Details
Main Authors:	Antonio Garcia-Uceda, Raghavendra Selvan, Zaigham Saghir, Harm A. W. M. Tiddens, Marleen de Bruijne
Format:	Article
Language:	English
Published:	Nature Publishing Group 2021-08-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-021-95364-1

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