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：--Lung Cancer is a disease of uncontrolled cell growth in tissues of the lung. Detection of Lung Cancer in its early stage is the key of its cure. In general, a measure for early stage lung cancer diagnosis mainly includes those utilizing X-ray chest films, CT, MRI etc. In many parts of the world widespread screening by CT or MRI is not yet practical, so that chest radiology remains in initial and most common procedure. Firstly, we will use some techniques are essential to the task of medical image mining, Lung Field Segmentation, Data Processing, Feature Ex traction, Classification using neural network and SVMs. The methods used in this paper work states to classify digital X-ray chest films into two categories: normal and abnormal. Different learning experiments were performed on two different data sets, created by means of feature selection and SVMs trained with different parameters; the results are compared and reported.
关键词：Data Mining; Lung Cancer; Classification; Neural Networks; Support vector machine
