title: Gradient vector flow based active shape model for lung field segmentation in chest radiographs.
abstract: Accurate lung field segmentation is crucial to computer-aided diagnosis (CAD) of lung diseases such as lung cancer and tuberculosis (TB). In this paper, we propose a modified gradient vector flow based active shape model (GVF-ASM) for lung field extraction from chest radiographs. Experimental results show that the proposed technique provides around 3-5% improvement over the ASM techniques.
authors: Dept. of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4 CA. tx1@ualberta.ca
authors: Tao
authors: T
authors: Xu
authors: Mrinal
authors: M
authors: Mandal
authors: Richard
authors: R
authors: Long
authors: Anup
authors: A
authors: Basu
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003196:Computer Graphics; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008168:Lung / Q000033:anatomy & histology / Q000000981:diagnostic imaging*; D008175:Lung Neoplasms / Q000175:diagnosis / Q000000981:diagnostic imaging*; D008953:Models, Anatomic; D010363:Pattern Recognition, Automated; D013902:Radiography, Thoracic / Q000379:methods*; D012984:Software; D014397:Tuberculosis, Pulmonary / Q000175:diagnosis / Q000000981:diagnostic imaging*