Study of BP neural network and its application in lung cancer intelligent diagnosis

Authors:
Xuemei Huang;Zhide Tang;Caixin Sun
Affiliations:
MOE Key Laboratory of High Voltage Engineering and Electrical New Technology, College of Electrical Engineering, Chongqing University, Chongqing, China;MOE Key Laboratory of High Voltage Engineering and Electrical New Technology, College of Electrical Engineering, Chongqing University, Chongqing, China;MOE Key Laboratory of High Voltage Engineering and Electrical New Technology, College of Electrical Engineering, Chongqing University, Chongqing, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Year:
2005

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Abstract

In this paper, the learning algorithm of networks is discussed. The programming example of 3-layer BP networks is given with Visual C++6.0 program langue. Based on this model, a lung cancer intelligent diagnosis system is successfully implemented. Furthermore, the paper introduces network's structure design, preferences and the source of sample datum in factual applications. The ameliorative arithmetic is applied to the study of networks and BP dynamic evolving process is designed. The experiments indicate cell images are recognized and classified by the trained neural network. The study illustrates the system has feasibility and clinical value in lung cancer diagnosis.