Title :
Parallel Immune Algorithm for Lung Cancer Detection in X-Ray Images Based on Object Shared Space
Author :
Gang, Peng ; Xiong, Yang ; Li, Liu
Author_Institution :
Dept. of Comput. Sci. & Technol., Huizhou Univ., Huizhou, China
Abstract :
This paper discusses a parallel immune algorithm (IA) for detection of lung cancer in chest X-ray images based on object shared space. The template matching method is combined to the algorithm and Java Spaces is used as object shared space. The experiment results show that the algorithm is efficient for detecting suspected lung cancer in chest X-ray images.
Keywords :
Java; X-ray imaging; artificial immune systems; cancer; lung; medical image processing; parallel algorithms; JavaSpaces; chest X-ray image; lung cancer detection; object shared space; parallel immune algorithm; template matching method; Algorithm design and analysis; Cancer; Immune system; Lungs; Medical diagnostic imaging; X-ray imaging; chest X-ray image; immune algorithm; lung cancer; object shared space;
Conference_Titel :
Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2011 12th International Conference on
Conference_Location :
Gwangju
Print_ISBN :
978-1-4577-1807-6
DOI :
10.1109/PDCAT.2011.64
