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 …

Kidney cancer is one of the most common malignancies worldwide. Early diagnosis is an
effective way to reduce the mortality and automated segmentation of kidney tumor in …

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 …

Pulmonary lobe segmentation is an important prerequisite for accurately quantifying
pulmonary damage in many pulmonary diseases and planning treatment. However, due to …

Lung segmentation is an essential step in a computer‐aided diagnosis system for chest
radiographs. The lung parenchyma is first segmented in pulmonary computer‐aided …

Background: Automatic pulmonary artery–vein separation has considerable importance in
the diagnosis and treatment of lung diseases. However, insufficient connectivity and spatial …

Gliomas are the most common and aggressive malignant primary brain tumors. Automatic
brain tumor segmentation from multi-modality magnetic resonance images using deep …

The use of computer-aided secondary tools that assist physicians for automatic
segmentation of the lung is very important for the diagnosis of many lung diseases …

Air collection around the lung regions can cause lungs to collapse. Conditions like
emphysema can cause chronic obstructive pulmonary disease (COPD), wherein lungs get …

Lung lobe segmentation in computed tomography (CT) images can be regarded as
essential supporting information for the diagnosis and treatment of lung diseases, yet it is a …