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 …
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 …
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 …
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
Pulmonary lobe segmentation in computed tomography scans is essential for regional
assessment of pulmonary diseases. Recent works based on convolution neural networks …
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 …
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 …
(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
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 …
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 …
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 …
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
Identification of pulmonary fissures, which form the boundaries between the lobes in the
lungs, may be useful during clinical interpretation of computed tomography (CT) …
lungs, may be useful during clinical interpretation of computed tomography (CT) …