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
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;
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
DOI :
10.1109/PDCAT.2012.90
