IMAGE PROCESSING AND CLASSIFICATION TECHNIQUES IN HEALTHCARE APPLICATIONS

Lung Cancer is leading cause of death in world. Different type of diseases leads to death but it is observed that most of the times death is due to cancer. If cancer is detected in early stage it is helpful in curing cancer completely. Lung cancer is generally misdiagnosed. Image processing and data mining found numerous applications in scientific and healthcare domain. To find out affected part by comparing CT scan image of both normal and affected person, Image processing technique such as smoothing, filtering, enhancement, segmentation, feature extraction are applied. Preprocessing techniques such as smoothing, enhancement and segmentation are applied on the image. Then features such as area, perimeter, eccentricity, curve, edges are extracted from pre-processed image using SIFT algorithm and then decision tree and SVM classifiers are used for classification. Based on classification, stage of cancer can be identified. SVM and decision tree classifiers are used to increase accuracy of the system.