Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning

B van Ginneken - Radiological physics and technology, 2017 - Springer
Half a century ago, the term “computer-aided diagnosis”(CAD) was introduced in the
scientific literature. Pulmonary imaging, with chest radiography and computed tomography …

Automated segmentation of pulmonary structures in thoracic computed tomography scans: a review

EM Van Rikxoort, B Van Ginneken - Physics in Medicine & …, 2013 - iopscience.iop.org
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 …

Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge

K Murphy, B Van Ginneken… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
<? Pub Dtl=""?> EMPIRE10 (Evaluation of Methods for Pulmonary Image REgistration 2010)
is a public platform for fair and meaningful comparison of registration algorithms which are …

Relational modeling for robust and efficient pulmonary lobe segmentation in CT scans

W Xie, C Jacobs, JP Charbonnier… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Pulmonary lobe segmentation in computed tomography scans is essential for regional
assessment of pulmonary diseases. Recent works based on convolution neural networks …

FissureNet: a deep learning approach for pulmonary fissure detection in CT images

SE Gerard, TJ Patton, GE Christensen… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Pulmonary fissure detection in computed tomography (CT) is a critical component for
automatic lobar segmentation. The majority of fissure detection methods use feature …

Predicting lung volume reduction after endobronchial valve therapy is maximized using a combination of diagnostic tools

TD Koster, EM Van Rikxoort, RH Huebner, F Doellinger… - Respiration, 2016 - karger.com
Background: Bronchoscopic lung volume reduction using one-way endobronchial valves
(EBVs) has been proven to be effective in patients with severe emphysema. However, the …

Automatic segmentation of the pulmonary lobes from chest CT scans based on fissures, vessels, and bronchi

B Lassen, EM van Rikxoort, M Schmidt… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
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 …

Anatomy-guided lung lobe segmentation in X-ray CT images

S Ukil, JM Reinhardt - IEEE transactions on medical imaging, 2008 - ieeexplore.ieee.org
The human lungs are divided into five distinct anatomic compartments called the lobes,
which are separated by the pulmonary fissures. The accurate identification of the fissures is …

Automatic segmentation of pulmonary segments from volumetric chest CT scans

EM Van Rikxoort, B De Hoop… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Automated extraction of pulmonary anatomy provides a foundation for computerized
analysis of computed tomography (CT) scans of the chest. A completely automatic method is …

A computational geometry approach to automated pulmonary fissure segmentation in CT examinations

J Pu, JK Leader, B Zheng, F Knollmann… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
Identification of pulmonary fissures, which form the boundaries between the lobes in the
lungs, may be useful during clinical interpretation of computed tomography (CT) …