3D Visualization of Pulmonary Vessel Based on Low-cost Segmentation and Fast Reconstruction
Q Huang, L Zhang, L Liu, Y Cao, H Ma, L Wang… - IEEE …, 2023 - ieeexplore.ieee.org
Real-time visual-aided navigation and path strategy for pneumonoconiosis and efficient 3D
visualization of pulmonary vessels are of great research and clinical significance in the …
visualization of pulmonary vessels are of great research and clinical significance in the …
Pulmonary vessel segmentation based on orthogonal fused U-Net++ of chest CT images
H Cui, X Liu, N Huang - Medical Image Computing and Computer Assisted …, 2019 - Springer
Pulmonary vessel segmentation is important for clinical diagnosis of pulmonary diseases,
while is also challenging due to the complicated structure. In this work, we present an …
while is also challenging due to the complicated structure. In this work, we present an …
Automatic multiscale enhancement and segmentation of pulmonary vessels in CT pulmonary angiography images for CAD applications
The authors are developing a computerized pulmonary vessel segmentation method for a
computer‐aided pulmonary embolism (PE) detection system on computed tomographic …
computer‐aided pulmonary embolism (PE) detection system on computed tomographic …
Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images …
Objectives To develop a deep learning–based pulmonary vessel segmentation algorithm
(DLVS) from noncontrast chest CT and to investigate its clinical implications in assessing …
(DLVS) from noncontrast chest CT and to investigate its clinical implications in assessing …
Stacked fully convolutional networks for pulmonary vessel segmentation
Accurate pulmonary vessel segmentation in non-contrast pulmonary computed tomography
(CT) images is significant for vessel reconstruction and disease diagnosis. Recently, there is …
(CT) images is significant for vessel reconstruction and disease diagnosis. Recently, there is …
Segmentation of pulmonary vessels based on MSFM method
X Wang, L Cheng, D Huang, X Gao… - … Conference on E …, 2021 - ieeexplore.ieee.org
Accurate segmentation of pulmonary blood vessels from CT images is of great significance
for lung disease detection and segmentation of other lung structures. Manual segmentation …
for lung disease detection and segmentation of other lung structures. Manual segmentation …
Automated vessel segmentation in lung CT and CTA images via deep neural networks
BACKGROUND: The distribution of pulmonary vessels in computed tomography (CT) and
computed tomography angiography (CTA) images of lung is important for diagnosing …
computed tomography angiography (CTA) images of lung is important for diagnosing …
Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy
Pulmonary artery-vein segmentation is crucial for diagnosing pulmonary diseases and
surgical planning, and is traditionally achieved by Computed Tomography Pulmonary …
surgical planning, and is traditionally achieved by Computed Tomography Pulmonary …
A dual-path U-Net for pulmonary vessel segmentation method based on lightweight 3D attention
R Wu, Y Xin, Y Dong, J Qian - Machine Vision and Applications, 2023 - Springer
In recent years, pulmonary vessel segmentation has aroused widespread interest in medical
image analysis. However, the structure of pulmonary vessels is complex and CT images …
image analysis. However, the structure of pulmonary vessels is complex and CT images …
Transformer-based 3D U-Net for pulmonary vessel segmentation and artery-vein separation from CT images
Transformer-based methods have led to the revolutionizing of multiple computer vision
tasks. Inspired by this, we propose a transformer-based network with a channel-enhanced …
tasks. Inspired by this, we propose a transformer-based network with a channel-enhanced …