Detection of Lung Cancer Using Artificial Neural Networks

Abstract

In this research, we developed a novel modular neural network for accurate detection of lung cancer in humans. In this paper we have taken the MRI reports of the patients and then we have analyzed the MRI images with the use of image processing techniques and Neural networks to check whether the patient has been affected by lung cancer or not. Inorder to improvise the MRI images for analysis we are using grayscale function for making the images fit for the analysis of lung cancer. We have implemented the neural fuzzy classification algorithm in order to find the contrast and energy of the image which is the key factor in determining the Lung cancer. To calculate the entropy of the image we have made use of the Feature Extraction Algorithm. By obtaining the values of the Entropy, Contrast and Energy we can find whether the patient is affected by Lung cancer or not.