DocumentCode :
2341577
Title :
Computer-Aided Detection for Pulmonary Nodules Base on the Morphological and Spatial Features
Author :
Guan Yudong ; Wang Yong ; Zou Yang ; Li Yanfen ; Mingxin Liu
Author_Institution :
Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
fYear :
2010
fDate :
23-25 April 2010
Firstpage :
1
Lastpage :
4
Abstract :
Pulmonary nodules usually act as the early stage characterization of lung cancer. It´s a crucial way to control the disease and reduce the mortality by further examination on the diagnosis of pulmonary nodules. But the large number of the image data and lesion analysis make difficulties to radiology expert for the correctness and effectiveness. So the computer-aided detection for the pulmonary nodules turns out to be the hot subject of medical image processing. In this paper, we follow the classic step in detecting the nodules and propose an effective algorithm based on the morphology and spatial relationship to search the lesion. The experimental results show that our proposal provides an extremely effective way to locate the nodules.
Keywords :
cancer; medical computing; medical image processing; radiology; computer-aided detection; disease control; image data; lung cancer; medical image processing; morphological features; pulmonary nodule diagnosis; radiology expert; spatial features; Biomedical image processing; Cancer; Data analysis; Diseases; Image analysis; Lesions; Lungs; Morphology; Proposals; Radiology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5315-3
Type :
conf
DOI :
10.1109/ICBECS.2010.5462500
Filename :
5462500
Link To Document :
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