Lung Nodule Detection In Ct Images Using Acm Based Segmentation Method

Abstract

A digital CT (Computed Tomography) image is used for segmentation of the lung region using Active Contour Model. By using active contour model, the lung boundaries are extracted with the gradient values. For the analysis of texture features in medical images, GLCM is the best one to find the spatial relationship of image and useful in calculating the grey level values. Using this values, feature sets are extracted. Support Vector Machine (SVM) perform stage classification and lung nodule detection. It also used to classify most difficult data points..