Detection and Prediction of Lung Cancer Using Different Algorithms
N. Sudhir Reddy, Dr.V. Khanaa · International Journal of Engineering and Advanced Technology · 2019
One of the major causes of cancer death is through Lung cancer. Theoverlapping of cancer cells acts as an impediment for its early detection. Identifying genetic andenvironmental factors plays a vital role in developing better techniques for its prevention. And inorder to discover the anomalies in target images, time factor is paramount. In this work, decision tree algorithm is used for prediction of lung cancer whereinthe important pattern with their corresponding weightage and score is studied. Processes such as preprocessing of images and feature extraction are done using Histogram Equalization and using neural network classifier does normal or abnormality check of the patient. If lung cancer is detected early, then it will reduce many treatment options, reduce risk of invasive surgery and increase survival rate. Therefore, an easy, cost effective and time saving method will produce promising result for detection and prediction of lung cancer.