Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : Annie Steffi Sydney | S Binilsundar  unnamed

Volume 03 Issue 03 2016

ISSN no:  2348-3121

Page no: 28-30

Abstract – Lung cancer, also said as  lung carcinoma , the earlier diagnosis of lung cancer is challenging task .  The signs of lung cancer are coughing , weight loss, shortness of breath, and chest pains. The Maximum causes of  lung cancer are tobacco smoking.  Lung cancer may be detected by  chest radiographs and computed tomography (CT) scans.  For early diagnosis and forecasting of  image processing technique are widely used for lung cancer, genetic as well as environmental problems are very significant in preventing lung cancer. In clinical trails of  cancer tumours such as lung cancer the time factor is needed for screening the tumours  in target images. Forecasting of lung cancer by decision tree algorithm. In this proposed system pre-processing of images and feature extraction processes and neural network classifier to Analyze the state of patient whether it is normal or abnormal. If the lung cancer is successfully diagnosed and forecasted in its earlier stages . The early diagnosis and Forecasting of lung cancer should play a emerging role in the detection process and also improve the safety of patient.

Keywords— Chest radiographs; Computed Tomography scans; Decision Tree Algorithm 


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