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 …

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 …

CNN based lung segmentation models in absence of diverse training dataset fail to segment
lung volumes in presence of severe pathologies such as large masses, scars, and tumors …

The effects of certain lung pathologies include alterations in lung physiology negatively
affecting pulmonary compliance. Current approaches to diagnosis and treatment …

Fully-automatic lung lobe segmentation in pathological lungs is still a challenging task. A
new approach for automatic lung lobe segmentation is presented based on airways …

Among all cancers, lung cancer (LC) is the most common of all malignant tumors. In order to
obtain a more effective segmentation of pulmonary fissures, independent to other structures …

Automated hemorrhage detection and segmentation in traumatic pelvic injuries is vital for
fast and accurate treatment decision making. Hemorrhage is the main cause of deaths in …

Purpose The proposed work aims to develop an algorithm to precisely segment the lung
parenchyma in thoracic CT scans. To achieve this goal, the proposed technique utilized a …

Fast contouring is important in image-guided radiation therapy (IGRT) and adaptive
radiation therapy (ART) where large computed tomography (CT) volumes have to be …