BACKGROUND: The distribution of pulmonary vessels in computed tomography (CT) and
computed tomography angiography (CTA) images of lung is important for diagnosing …

Pulmonary vessel segmentation is important for clinical diagnosis of pulmonary diseases,
while is also challenging due to the complicated structure. In this work, we present an …

Lung vessel segmentation of computed tomography (CT) images is important in clinical
practise and challenging due to difficulties associated with minor size and blurred edges of …

For large-scale medical images, automatic pulmonary vessel segmentation is a fundamental
and essential research for various pulmonary disease diagnoses. Most existing approaches …

Background: Pulmonary embolism is a kind of cardiovascular disease that threatens human
life and health. Since pulmonary embolism exists in the pulmonary artery, improving the …

Background The automatic segmentation of pulmonary vessels from CT images has
important significance. However, accurately annotating pulmonary vessels directly in non …

In the recognition of pulmonary embolism, the accuracy of pulmonary artery segmentation
plays a key role. Due to the irregular shape of pulmonary artery and the complex adjacent …

Pulmonary vessel segmentation is the key application of AI in lung disease diagnosis and
surgical planning. Compared with manual labeling, automatic labeling of pulmonary vessels …

Objectives To develop a deep learning–based pulmonary vessel segmentation algorithm
(DLVS) from noncontrast chest CT and to investigate its clinical implications in assessing …

The characterization of the vasculature in the mediastinum, more specifically the pulmonary
artery, is of vital importance for the evaluation of several pulmonary vascular diseases. Thus …