Half a century ago, the term “computer-aided diagnosis”(CAD) was introduced in the
scientific literature. Pulmonary imaging, with chest radiography and computed tomography …

Various structures in human physiology follow a treelike morphology, which often expresses
complexity at very fine scales. Examples of such structures are intrathoracic airways, retinal …

This paper describes a framework for establishing a reference airway tree segmentation,
which was used to quantitatively evaluate 15 different airway tree extraction algorithms in a …

We propose a novel airway segmentation method in volumetric chest computed tomography
(CT) and evaluate its performance on multiple datasets. The segmentation is performed …

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Airway segmentation on CT scans is critical for pulmonary disease diagnosis and
endobronchial navigation. Manual extraction of airway requires strenuous efforts due to the …

We present an end-to-end deep learning segmentation method by combining a 3D UNet
architecture with a graph neural network (GNN) model. In this approach, the convolutional …

Abstract The VESSEL12 (VESsel SEgmentation in the Lung) challenge objectively
compares the performance of different algorithms to identify vessels in thoracic computed …

We propose a novel method to improve airway segmentation in thoracic computed
tomography (CT) by detecting and removing leaks. Leak detection is formulated as a …

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 …