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 …

At present, medical images have played a more and more important role in clinical
treatment. Lung images provide an important reference for doctors to make a diagnosis …

Lung malignant growth is the well-known reason for death identified due to cancer
worldwide. Therefore, to help the radiologist to detect it correctly, automated computer …

Accurate lung segmentation from large-size 3-D chest-computed tomography images is
crucial for computer-assisted cancer diagnostics. To efficiently segment a 3-D lung, we …

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 …

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

Nowadays, lung cancer is the leading cause of cancer death in both men and women. The
early detection of potentially cancerous cells is the best way to improve the patient's chances …

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 …

Previous studies of the ex vivo lung have suggested significant intersubject variability in lung
lobe geometry. A quantitative description of normal lung lobe shape would therefore have …

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 …