Diagnosis the Stages Of Lung Cancer Using Lung CT Slices
Medical imaging is a very important field for diagnosing the diseases from the analysis of x ray, computed tomography (CT) scan or other medical images. Computer aided diagnosis (CAD) helps to physicians to make the clinical decision about the diseases. The most important work in the CAD system to identify the diagnosis details about the images that are used as an input. In this work a computer aided diagnosis system is presented that is used for diagnosing the stages of Lung Cancer by taking Lung ct slices as an input. Pathology relevant regions are called Region of interests (ROI) in Lung ct slices. Region of interests are identified from every ct slices. Features are extracted from the every Region of interests to generate feature vectors. The feature vectors are stored in the database. Based on the Extracted feature vectors training is performed on the Support vector machine classifier (SVM) and after the classification accuracy is evaluated by using the test set.