期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：3
出版社：S.S. Mishra
摘要：A hybrid technique based on feature extraction and Principal Component Analysis (PCA) is presented for lung detection in CT scan images. Lung cancer, if detected successfully at early stages, enables m any treatment options, reduced risk of invasive surgery and increased survival rate. .In this paper features are extracted using principal component analysis and Histogram Equalization is used for preprocessing of the images. The system prod uces promising results for lung cancer detection.
关键词：Lung Cancer Detection; CT-scan Images; Principle Component Analysis; Histogram Equalization
