Half a century ago, the term “computer-aided diagnosis”(CAD) was introduced in the
scientific literature. Pulmonary imaging, with chest radiography and computed tomography …

Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …

Pulmonary lobe segmentation in computed tomography scans is essential for regional
assessment of pulmonary diseases. Recent works based on convolution neural networks …

Every cell in our body originates from the pluripotent inner mass of the embryo, yet it is
unknown how biomechanical forces allocate inner cells in vivo. Here we discover …

Pulmonary fissure detection in computed tomography (CT) is a critical component for
automatic lobar segmentation. The majority of fissure detection methods use feature …

To accurately segment pathological and healthy lungs for reliable computer-aided disease
diagnostics, a stack of chest CT scans is modeled as a sample of a spatially inhomogeneous …

Computed tomography (CT) is the modality of choice for imaging the lungs in vivo. Sub-
millimeter isotropic images of the lungs can be obtained within seconds, allowing the …

Abstract The VESSEL12 (VESsel SEgmentation in the Lung) challenge objectively
compares the performance of different algorithms to identify vessels in thoracic computed …

The purpose of this study was to develop a fully-automated segmentation algorithm, robust
to various density enhancing lung abnormalities, to facilitate rapid quantitative analysis of …

Background: Bronchoscopic lung volume reduction using one-way endobronchial valves
(EBVs) has been proven to be effective in patients with severe emphysema. However, the …