Automatic detection of lung nodules using classifiers

In this paper, comparison between three classifiers for lung cancer diagnosis is proposed. Morphological Operations is used for preprocessing of the images and gray level cooccurrence matrix is used for the feature extraction process and SVM, Minimum distance and k-nearest neighbor classifiers are used for classification. Experimental analysis is made with data set to evaluate the performance of the different classifiers. The performance of SVM classifiers is found to be the best based correct and incorrect classification of the classifier.