Complete segmentation of diseased lung lobes by automatically identifying fissure surfaces
is a nontrivial task, due to incomplete, disrupted, and deformed fissures. In this paper, we …

Purpose The major hurdle for three-dimensional display of lung lobes is the automatic
recognition of lobar fissures, boundaries of lung lobes. Lobar fissures are difficult to …

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 …

As important anatomical landmarks of the human lung, accurate lobe segmentation may be
useful for characterizing specific lung diseases (eg, inflammatory, granulomatous, and …

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 …

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 fissures separate human lungs into five distinct regions called lobes. Detection of
fissure is essential for localization of the lobar distribution of lung diseases, surgical …

Modern multislice computed tomography (CT) scanners produce isotropic CT images with a
thickness of 0.6 mm. These CT images offer detailed information of lung cavities, which …

Lobe identification in computed tomography (CT) examinations is often an important
consideration during the diagnostic process as well as during treatment planning because of …

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