Early Detection of Lung Cancer using Artificial Neural Network

Abstract

The aim of the paper is to detect the lung cancer in the early stage. As early detection of the lung cancer is a testing issue, as a consequence of the structure of the lung tumor cells, where the greater part of the cells will be covered or not developed. Lung cancer is the most extreme sort of danger among each one of the disease with less survival rate. It is difficult to break down the development of tumor cells at its underlying stages (Stage I and Stage II). This paper demonstrates the early detection of lung malignancy by utilizing artificial neural network based algorithms such as Levenberg-Marquardt Algorithm, Bayesian Regularization Algorithm and Conjugate gradient Algorithm. Keywords: Artificial Neural Network, Back propagation, Mean Squared Error, Regression