The Diagnostic Model of Breast Cancer Based on Improved Probabilistic Neural Network

摘要

The paper analyzes structure of probabilistic neural network, improves its output, makes it output posterior probability, ranks the similarity, and proposes a diagnostic model of breast cancer based on probabilistic neural network and multi-agent system. By virtue of breast characteristicintelligent agent, impedance characteristics of 9 breast tissues irrelevant to the method are extracted. Moreover, the characteristic information is sent to diagnostic intelligent agent of breast diseases, and the intelligent agent adopts probabilistic neural network to diagnose breast diseases.The experimental results show that the system has good performance and actual applied value.