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 …

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 …

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

Pulmonary function tests (PFTs) are important clinical metrics to measure the severity of
interstitial lung disease for systemic sclerosis patients. However, PFTs cannot always be …

Purpose Vascular remodeling is a significant pathological feature of various pulmonary
diseases, which may be assessed by quantitative computed tomography (CT) imaging. The …

Purpose The accurate delineation of hepatic vessels is important to diagnosis and treatment
planning. To improve the segmentation of these vessels and extract small structures, we …

Renal artery segmentation plays a fundamental role in nephrectomy, which can help
surgeons get a better under-standing of vascular structures. However, the similar intensity …

Over the past decades, medical image segmentation methods have been intensively
developed, but there are still a number of unsolved challenging problems in vascular image …

Lungs are one of the most important parts of the human body. They are very susceptible to
various disorders and diseases. For this reason, it is necessary to detect or diagnose the …

Pulmonary lobe segmentation is an important preprocessing task for the analysis of lung
diseases. Traditional methods relying on fissure detection or other anatomical features, such …