18 citations · 36 across the 6 of their papers we have counts for
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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.IV2020
Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images
Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens +1
Data augmentation is of paramount importance in biomedical image processing tasks, characterized by inadequate amounts of labelled data, to best use all of the data that is present…