International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 115 - Number 23 |
Year of Publication: 2015 |
Authors: Anoop C S, Preeja V |
10.5120/20293-2704 |
Anoop C S, Preeja V . Lung Nodule Detection and Analysis using VDE Chest Radiographs. International Journal of Computer Applications. 115, 23 ( April 2015), 31-36. DOI=10.5120/20293-2704
Lung cancer becomes very common in our environment. Many computer-aided detection (CADe) schemes are available to detect lung nodules. So as to detect nodules in cost effective way, system uses chest radiographs (CXRs). Major challenge in those systems are the anatomical structures (ribs and clavicles) in the CXRs. These structures will conceal the nodules behind it. In order to overcome this problem virtual dual energy (VDE) technique has been implemented, which produces ribs and clavicle suppressed CXR image. After detecting the nodules, analysis of different types of nodules will assist the radiologist to improve the diagnosis accuracy, sensitivity and further treatment procedures. Currently the CADe scheme combine with VDE technique is having 85% sensitivity with 5 FPs/image.