… method for segmentation lungs in CT scans based on thresholding algorithm. This method
has a reconstruction operation to detect the attached nodules and add them to the lung mask. …

… We applied our hybrid lung segmentation to three databases of 50 scans … scans, manual
segmentations were performed to allow for quantitative evaluation of the lung segmentation …

… and scanning protocols. In all scans, an automatic threshold-based lung segmentation was
performed … 3D threshold-based lung segmentation methods on scans with normal lungs and …

… of the lungs which was not included in our lung segmentation. All scans were subsampled
with … van Ginneken, “Computer analysis of computed tomography scans of the lung: A survey,”…

… lung segmentation is infeasible. In this work, an interactive system for segmenting the lungs
and the viable lung … study, we focus in particular on the evaluation of the lung segmentation. …

… This paper presents a review of the literature on computer analysis of the lungs in CT scans
and addresses segmentation of various pulmonary structures, registration of chest scans, …

… segmentation in CT scan images, we propose LGAN schema which is a general deep
learning model for segmentation of lungs from CT images based on a Generative Adversarial …

… —Pulmonary lobe segmentation in computed tomography scans is … lung segmentation,
our approach serves as an end-to-end lobe segmentation framework that can be used for lung …

… analysis [4], [5], and lung and diaphragm mechanics analysis [6], [7]… lung segmentation.
With the introduction of multislice spiral CT scanners, the number of volumetric studies of the lung …

… This work presents a novel method for efficient and accurate lung lesion segmentation. Our
approach is to use an edge-based method for solid lesions and a probability-based method …