Two-pass region growing algorithm for segmenting airway tree from MDCT chest scans-Reference-Cited by-同舟云学术

Two-pass region growing algorithm for segmenting airway tree from MDCT chest scans

Published:2009-10 Issue:7 Volume:33 Page:537-546
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Fabijańska Anna

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference26 articles.

1. Standards for the diagnosis and care of patients with chronic obstructive pulmonary disease;American Thoracic Society Statement;Am J Respir Crit Care Med,1995

2. Computed tomographic measurements of airway dimensions and emphysema in smokers correlation with lung function;Nakano;Am J Respir Crit Care Med,2000

3. Airway wall thickness in cigarette smokers: quantitative thin-section CT assessment;Berger;Radiology,2005

4. Using computed tomographic scanning to advance understanding of chronic obstructive pulmonary disease;Reilly;Proc Am Thorac Soc,2006

5. Quantitative 3D CT Bronchography;Fetita,2002

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Precise Pulmonary Airway Tree Segmentation Method Using Quasi-Spherical Region Constraint and Tracheal Wall Gap Sealing;Sensors;2024-08-06

2. Detail-sensitive 3D-UNet for pulmonary airway segmentation from CT images;Medical & Biological Engineering & Computing;2024-07-17

3. An end-to-end multi-scale airway segmentation framework based on pulmonary CT image;Physics in Medicine & Biology;2024-05-21

4. A novel computational fracture toughness model for soft tissue in needle insertion;Journal of the Mechanical Behavior of Biomedical Materials;2023-11

5. Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images;Artificial Intelligence in Medicine;2023-09