Automated segmentation of lungs with severe interstitial lung disease in CT
AUTOR(ES)
Wang, Jiahui
FONTE
American Association of Physicists in Medicine
RESUMO
Purpose: Accurate segmentation of lungs with severe interstitial lung disease (ILD) in thoracic computed tomography (CT) is an important and difficult task in the development of computer-aided diagnosis (CAD) systems. Therefore, we developed in this study a texture analysis-based method for accurate segmentation of lungs with severe ILD in multidetector CT scans.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2771715Documentos Relacionados
- Pattern of breathing during exercise in patients with interstitial lung disease.
- Exercise response in patients with sarcoidosis and interstitial lung disease.
- Treatment of Scleroderma-Interstitial Lung Disease With Cyclophosphamide Is Associated With Less Progressive Fibrosis on Serial Thoracic High-Resolution CT Scan Than Placebo: Findings From the Scleroderma Lung Study
- Ventilation and gas exchange during sleep in patients with interstitial lung disease.
- Oxygen desaturation during sleep and exercise in patients with interstitial lung disease.
