Lung Cancer Detection using Artificial Neural Network on Android

Abstract

Cancer is a disease that threatens majority of the world’s survival rate. Lung cancer is one of most deadly malignancies, having a high rate of morbidity and death compared to other cancers. The goal of this paper is to identify lung cancer from a CT scan by employing image processing, segmentation, feature extraction and classification of lung cancer with stage detection to find reliable results. Artificial Neural Network has been used for classification and staging of cancerous nodule. This concept is built on Android smartphone technology, and it aims to make cancer diagnosis as simple as possible. Early detection of lung cancer opens the gate to a variety of treatment options, effective recoveries, and eventually, increased survival prospects. The proposed work intends to promote early detection of cancer in lung with stage detection. Our system is able to obtain an accuracy of 96.5%.