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

Identification of pulmonary fissures, which form the boundaries between the lobes in the
lungs, may be useful during clinical interpretation of computed tomography (CT) …

Pulmonary interlobar fissures are important anatomic structures in human lungs and are
useful in locating and classifying lung abnormalities. Automatic segmentation of fissures is a …

A pulmonary fissure is a boundary between the lobes in the lungs. Its segmentation is of
clinical interest as it facilitates the assessment of lung disease on a lobar level. This paper …

Segmentation of the pulmonary lobes is relevant in clinical practice and particularly
challenging for cases with severe diseases or incomplete fissures. In this work, an …

Automatic segmentation of lung lobes from CT data is becoming clinically relevant as an
enabler for, eg, lobe-based quantitative analysis for diagnostics or more accurate …

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 …

In computed tomography (CT) images, pulmonary lobe segmentation is an arduous task due
to its complex structures. To remedy the problem, we introduce a new framework based on …

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 …

Detection of a pulmonary fissure in lungs is difficult due to its anatomical changeability
among humans and it is essential in the clinical environment for accurate localizing and …