DocumentCode
2976881
Title
Lung Cancer Detection in Chest X-Ray Images with Parallel Genetic Algorithm
Author
Peng Gang ; Liu Li ; Zeng Kehan ; Li Tian ; Nakayama, Shoji
Author_Institution
Dept. of Comput. Sci. & Technol., Huizhou Univ., Huizhou, China
fYear
2012
fDate
14-16 Dec. 2012
Firstpage
189
Lastpage
192
Abstract
This paper discusses lung cancer detection in chest X-ray images with a parallel genetic algorithm (GA). The template matching method and local search techniques are combined to the algorithm and Java Spaces is used to construct the parallel system. The promising results are presented in the experiments.
Keywords
Java; cancer; diagnostic radiography; genetic algorithms; image matching; medical image processing; object detection; parallel processing; search problems; GA; Java Spaces; chest X-ray image; local search technique; lung cancer detection; parallel genetic algorithm; parallel system; template matching method; Biomedical imaging; Cancer detection; Genetic algorithms; Lungs; Sociology; Statistics; X-ray imaging; chest X-ray image; genetic algorithm; lung cancer; parallel system;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2012 13th International Conference on
Conference_Location
Beijing
Print_ISBN
978-0-7695-4879-1
Type
conf
DOI
10.1109/PDCAT.2012.90
Filename
6589262
Link To Document