Objectives: Automated computational segmentation of the lung and its lobes and findings in
X-Ray based computed tomography (CT) images is a challenging problem with important …

Background Unsupervised lung segmentation method is one of the mandatory processes in
order to develop a Content Based Medical Image Retrieval System (CBMIRS) of CXR. The …

Using computational fluid dynamics (CFD) method, the feasibility of simulating transient
airflow in a CT‐based airway tree with more than 100 outlets for a whole respiratory period …

Severity of pulmonary emphysema and lung cancer: analysis us... : Medicine Severity of
pulmonary emphysema and lung cancer: analysis using quantitative lobar emphysema scoring …

Lung lobe segmentation in chest CT is relevant to a wide range of clinical applications.
However, existing segmentation pipelines often exhibit vulnerabilities and performance …

Introduction Idiopathic pulmonary fibrosis (IPF) is the most common and severe form of
idiopathic interstitial pneumonia, accounted for 20% of cases of interstitial lung disease …

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 …

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 …

By way of introduction, the preferred embodiments described below include methods,
computer readable media, and systems for lung lobe segmentation or lung fissure …

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 …