摘要
文章提出了一种基于概率神经网络和多智能体的乳腺癌诊断系统,通过乳腺特征收集智能体提取与方法无关的9种乳腺组织的电阻抗特征,并将该特征信息传送到乳腺疾病诊断智能体,该智能体采取概率神经网络来进行乳腺疾病的诊断。试验结果表明,该系统具有良好的性能和实际应用价值。
In order to realize early detection and diagnosis of breast cancer and improve the accuracy of the diagnosis and screening of breast diseases, a diagnosis system of breast cancer based on multi-a- gent and probabilistic neural network is put forward. Through the breast features collection（BFC） a- gent, nine electrical impedance characteristics of breast tissue are collected and this information is sent to the breast disease diagnosis（BDD） agent. In the BDD agent, a probabilistic neural network is used to diagnose breast disease. The test results show that the described system has good performance and practical value.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2013年第6期684-687,共4页
Journal of Hefei University of Technology：Natural Science
基金
广东省自然科学基金资助项目(0002014014)
广东省高等职业技术教育研究会重点课题资助项目(GDGZ10001)
关键词
乳腺癌
概率神经网络
诊断系统
电阻抗特征
breast cancer
probabilistic neural network
diagnostic system
electrical impedance characteristic
