Lung Cancer Detection and Classification using Curvelet Transform and Neural Network
Ekta Solanki, Chandresh K Parmar, Silver Oak · 2015
Abstract — Lung cancer is the most acute type of cancer among all the cancers with less survival rate. It is very difficult to analyze the cancer at its early stage. In the past few years, many Computer aided systems have been designed to detect the lung cancer at its early stage. The most of work is implemented on the Computer Tomography (CT) scan images because of better clarity, low noise and distortion. In this paper, Lung cancerous cells are detected using the curvelet transform and with the help of the Artificial neural network Classification is done whether it is benign or malignant.