Parallel Immune Algorithm for Lung Cancer Detection in X-Ray Images Based on Object Shared Space

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. 

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Cite this paper

@article{Gang2011ParallelIA, title={Parallel Immune Algorithm for Lung Cancer Detection in X-Ray Images Based on Object Shared Space}, author={Peng Gang and Yang Xiong and Liu Li}, journal={2011 12th International Conference on Parallel and Distributed Computing, Applications and Technologies}, year={2011}, pages={197-200} }