Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 47, Pages: 1-8
Rajan Dharwal* and Loveneet Kaur
*Author for correspondence
Department of CSE, Lovely Professional University, Phagwara, Jalandhar - 144411, Punjab, India; [email protected]
Objectives: The objective of this research paper is study the different methods related to artificial neural network used for prediction and detection of the lung cancer in its early stages so that survival rate of lung cancer patients can be increased. Methods: Lung cancer is the leading cause of death in India so early detection of lung cancer is very important. The detection and prediction of lung cancer was determined with image prepossessing method where segmentation, smoothing and enhancement steps were processed and features were extracted from images and stages of lung cancer were identified with suitable artificial neural network model and also survival rate of lung cancer patients was determined. Findings: Artificial neural network has a significant role in medical area. In these days most of the disease cure methods are process with the help of artificial intelligence to increase the performance of output. In lung cancer disease the artificial neural network model is very useful because detection of lung cancer in its early stages can be determine and it is very important to cure this disease initially because with the increasing stages of lung cancer it is very difficult to cure this disease and also the survival rate of lung cancer patients in higher stages is very low Improvements: The ultimate goal of this paper is to study different methods of Artificial Neural Networks model that can help for detection, prediction and find the survival rate of lung cancer patients.
Keywords: Artificial Intelligence, Artificial Neural Network, Application of Neural Networks
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