摘要目的 探讨利用BP神经网络对肝癌数字减影血管造影(DSA)图像进行计算机辅助诊断的应用价值.方法 分析32例肝癌病例DSA影像资料,应用BP神经网络建立计算机临床辅助诊断模型,然后把100个随机抽样测试样本(非病灶样本55个,病灶样本45个)输入模型验证诊断准确率.结果 肝癌计算机辅助诊断模型成功建立,100个随机抽样样本经模型分析,真阳性率为91%,真阴性率95%.结论 BP神经网络可应用于临床辅助肝癌DSA诊断.

abstractsObjective To explore the value of computer-aided diagnosis of hepatic carcinoma with digital subtraction angiography (DSA) images by back propagation (BP) neural network. Methods DSA images of 32 cases with hepatic carcinoma were analyzed. According to the analysis results, computer-aided diagnostic model by using BP neural network was established. Then 100 random cases (55 cases without lesion, 45 cases with lesion) were input to verify diagnosis accuracy of the model. Results Computer-aided diagnostic model of hepatic carcinoma was established successfully. One hundred random sample data were analyzed by the model. The true positive rate was 91%, and the true negative rate was 95%. Conclusion BP neural network can be used as an assisted method for DSA diagnosis of hepatic carcinoma.