Computed Tomography (CT) imaging is routinely used for imaging of the lungs. Deep
learning can effectively automate complex and laborious tasks in medical imaging. In this …

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 …

Accurate segmentation of the pulmonary airway tree is crucial for diagnosing lung diseases.
To tackle the issues of low segmentation accuracy and frequent leaks in existing methods …

Purpose Evaluation of lung fissure integrity is required to determine whether emphysema
patients have complete fissures and are candidates for endobronchial valve (EBV) therapy …

Pulmonary fissures are anatomical biomarkers used to evaluate the severity of chronic
obstructive pulmonary disease. The completeness of the fissures is significantly associated …

Lungs are regularly imaged through Computed Tomography (CT). The submillimeter
resolution allows for intricate structures and features within the lungs to be visualized and …

We propose to develop a prediction model that uses the quantitative lung fissure integrity
score from chest CT scans that can identify emphysema patients that successfully respond to …