DETECTION AUTOMATION OF MALIGNANT NEOPLASM USING CLUSTERING TECHNIQUES WITH MATLAB

Abstract

Author(s): Neelapala Anil Kumar, S. Lakshmanan, K. Tarakeswara Rao

Malignant neoplasm is the most common through worldwide that attacks the greatest number of people, which is to be controlled and detected at early stages with necessary treatments. Our current work focus on finding early symptoms of the diseases appearing on this CT images by using modified clustering algorithm approach .We are aiming at computerizing by passing the available lung cancer images and its database in basic three stages to achieve more quality and accuracy in our experimental results.