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 …

Segmentation of the pulmonary lobes is relevant in clinical practice and particularly
challenging for cases with severe diseases or incomplete fissures. In this work, an …

Purpose: Performing lobe‐based quantitative analysis of the lung in computed tomography
(CT) scans can assist in efforts to better characterize complex diseases such as chronic …

Automated lung lobe segmentation methods often fail for challenging and clinically relevant
cases with incomplete fissures or substantial amounts of pathology. We present a fast and …

As important anatomical landmarks of the human lung, accurate lobe segmentation may be
useful for characterizing specific lung diseases (eg, inflammatory, granulomatous, and …

The computational detection of pulmonary lobes from CT images is a challenging
segmentation problem with important respiratory health care applications, including surgical …

Lobe detection from CT images is a challenging segmentation problem with important
respiratory health care applications, including surgical planning and regional image …

Automatic, reliable lobe segmentation is crucial to the diagnosis, assessment, and
quantification of pulmonary diseases. Existing pulmonary lobe segmentation techniques are …

We present a fully automatic lung lobe segmentation algorithm that is effective in high
resolution computed tomography (CT) datasets in the presence of confounding factors such …

Automatic identification of pulmonary lobes from imaging is important in disease assessment
and treatment planning. However, the lobar fissures can be difficult to detect automatically …