Aug 6, 2021 · This paper presents a fully automatic and end-to-end optimised airway segmentation method for thoracic computed tomography, ...
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Automatic airway segmentation from computed tomography using robust ...
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Aug 6, 2021 · This paper presents a fully automatic and end-to-end optimised airway segmentation method for thoracic computed tomography, ...
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This paper presents a fully automatic and end-to-end optimised airway segmentation method for thoracic computed tomography, based on the U-Net architecture.
Jan 13, 2024 · This paper presents a fully automatic and end-to-end optimised airway segmentation method for thoracic computed tomography, ...
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Nov 29, 2021 · Artificial intelligence (AI) segmentation tools require high-quality training data matching the population and scanning parameters of the use ...
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Feb 18, 2022 · The proposed method is beneficial to extracting topological complete airway segmentation for bronchoscopic intervention. Go to: Acknowledgements.
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Fifteen initial airway segmentations from low-dose chest computed tomography scans were obtained with a 3D-Unet AI tool previously trained on Danish Lung Cancer ...
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Apr 18, 2023 · This model was combined with an optimal-surface graph-cut for airway wall segmentation. These tools were used to calculate bronchial parameters ...
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Artificial intelligence (AI) segmentation tools require high-quality training data matching the population and scanning parameters of the use case. Manually ...
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To that end, an image processing approach is proposed that could produce 3D patient respiratory geometries from 2D chest X-rays and 3D CT images. We evaluated ...
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