【摘要】 采用激光诱导自体荧光诊断系统对40例大肠组织标本荧光光谱随机信号进行采集,并基于主成分分析法和神经网络模型,进行光谱分析及临床样本自动诊断分类,获得了较好的临床诊断敏感性和特异性,为大肠癌自体荧光光谱智能诊断系统的开发奠定了基础。更多还原

【Abstract】 The research collects the autofluorescent signals of colorectal tissues from 40 patients by laser induced autofluorescent diagnostic system,analyzes and classifies these spectrum by principal analysis and neural networks methods.This method acquires pretty good clinical diagnostic sensitivity and specificity.The research provides the foundation to develop the laser induced autofluorescent dianostic system for colorectal cancer.更多还原