Automatic segmentation of pulmonary lobes using a progressive dense V-network
Reliable and automatic segmentation of lung lobes is important for diagnosis, assessment,
and quantification of pulmonary diseases. The existing techniques are prohibitively slow …
and quantification of pulmonary diseases. The existing techniques are prohibitively slow …
Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network
Automatic, reliable lobe segmentation is crucial to the diagnosis, assessment, and
quantification of pulmonary diseases. Existing pulmonary lobe segmentation techniques are …
quantification of pulmonary diseases. Existing pulmonary lobe segmentation techniques are …
Automated segmentation of pulmonary lobes using coordination-guided deep neural networks
The identification of pulmonary lobes is of great importance in disease diagnosis and
treatment. A few lung diseases have regional disorders at lobar level. Thus, an accurate …
treatment. A few lung diseases have regional disorders at lobar level. Thus, an accurate …
Pulmonary lobe segmentation in CT images based on lung anatomy knowledge
Y Peng, H Zhong, Z Xu, H Tu, X Li… - … Problems in Engineering, 2021 - Wiley Online Library
In computed tomography (CT) images, pulmonary lobe segmentation is an arduous task due
to its complex structures. To remedy the problem, we introduce a new framework based on …
to its complex structures. To remedy the problem, we introduce a new framework based on …
Efficient 3D fully convolutional networks for pulmonary lobe segmentation in CT images
The human lung is a complex respiratory organ, consisting of five distinct anatomic
compartments called lobes. Accurate and automatic segmentation of these pulmonary lobes …
compartments called lobes. Accurate and automatic segmentation of these pulmonary lobes …
Pulmonary fissure segmentation in CT images based on ODoS filter and shape features
Y Peng, P Luan, H Tu, X Li, P Zhou - Multimedia Tools and Applications, 2023 - Springer
Pulmonary fissure segmentation in computed tomography (CT) images can be treated as
important ancillary information in the diagnosis and treatment of pulmonary diseases, yet it …
important ancillary information in the diagnosis and treatment of pulmonary diseases, yet it …
An oriented derivative of stick filter and post-processing segmentation algorithms for pulmonary fissure detection in CT images
Y Peng, C Xiao - Biomedical Signal Processing and Control, 2018 - Elsevier
Abstract Knowledge of pulmonary fissure anatomy is valuable in localization of lesions and
evaluation of lung disease. Under CT imaging, pulmonary fissure detection is an intricate …
evaluation of lung disease. Under CT imaging, pulmonary fissure detection is an intricate …
An improved random forests approach for interactive lobar segmentation on emphysema detection
Q Li, L Chen, X Li, S Xia, Y Kang - Granular Computing, 2020 - Springer
Emphysema is one of the most widespread diseases in chronic diseases. Early diagnosis is
crucial in slowing down the decline in the lung function of patients. Nowadays, it mainly …
crucial in slowing down the decline in the lung function of patients. Nowadays, it mainly …
Automated labeling of the airway tree in terms of lobes based on deep learning of bifurcation point detection
M Wang, R Jin, N Jiang, H Liu, S Jiang, K Li… - Medical & Biological …, 2020 - Springer
This paper presents an automatic lobe-based labeling of airway tree method, which can
detect the bifurcation points for reconstructing and labeling the airway tree from a computed …
detect the bifurcation points for reconstructing and labeling the airway tree from a computed …
An efficient method for the detection of oblique fissures from computed tomography images of lungs
S Anitha, TR Ganesh Babu - Journal of Medical Systems, 2019 - Springer
Detection of a pulmonary fissure in lungs is difficult due to its anatomical changeability
among humans and it is essential in the clinical environment for accurate localizing and …
among humans and it is essential in the clinical environment for accurate localizing and …