This article introduces a novel class of active contour models for image segmentation. It
makes use of nonlocal comparisons between pairs of patches within each region to be …

Pulmonary fissures are important landmarks for recognition of lung anatomy. In CT images,
automatic detection of fissures is complicated by factors like intensity variability, pathological …

Pulmonary fissure segmentation in computed tomography (CT) images can be treated as
important ancillary information in the diagnosis and treatment of pulmonary diseases, yet it …

Purpose. The objective was to study the morphology of fissures and lobes of the lung in
South Indian population. Materials and Methods: The study included 60 adult cadaveric …

Abstract Background Multi-detector Computed Tomography has become an invaluable tool
for the diagnosis of chronic respiratory diseases. Based on CT images, the automatic …

Abstract Knowledge of pulmonary fissure anatomy is valuable in localization of lesions and
evaluation of lung disease. Under CT imaging, pulmonary fissure detection is an intricate …

Background: Both lung lobe segmentation and lung fissure segmentation are useful in the
clinical diagnosis and evaluation of lung disease. It is often of clinical interest to quantify …

Imaging pulmonary fissures by CT provides useful information on diagnosis of pulmonary
diseases. Automatic segmentation of fissures is a challenging task due to the variable …

Existing fast marching methods solve the Eikonal equation using a continuous (first-order)
model to estimate the accumulated cost, but a discontinuous (zero-order) model for the …

Chest computed tomography (CT) is the most commonly used technique for the inspection of
lung lesions. However, the lobe fissures in lung CT is still difficult to observe owing to its …