中华生物医学工程杂志
中華生物醫學工程雜誌
중화생물의학공정잡지
CHINESE JOURNAL OF BIOMEDICAL ENGINEERING
2009年
1期
55-57
,共3页
唐静波%龙学颖%刘彤%任力锋%曹觉%谢江平%彭健%张阳德
唐靜波%龍學穎%劉彤%任力鋒%曹覺%謝江平%彭健%張暘德
당정파%룡학영%류동%임력봉%조각%사강평%팽건%장양덕
癌,肝细胞%数字减影血管造影%BP神经网络%诊断,计算机辅助%模型,神经网络
癌,肝細胞%數字減影血管造影%BP神經網絡%診斷,計算機輔助%模型,神經網絡
암,간세포%수자감영혈관조영%BP신경망락%진단,계산궤보조%모형,신경망락
Carcinoma,hepatocellular%Digital subtraction angiography%Back propagationneural network%Diagnosis,computer-assisted%Models,neural network
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.
目的 探討利用BP神經網絡對肝癌數字減影血管造影(DSA)圖像進行計算機輔助診斷的應用價值.方法 分析32例肝癌病例DSA影像資料,應用BP神經網絡建立計算機臨床輔助診斷模型,然後把100箇隨機抽樣測試樣本(非病竈樣本55箇,病竈樣本45箇)輸入模型驗證診斷準確率.結果 肝癌計算機輔助診斷模型成功建立,100箇隨機抽樣樣本經模型分析,真暘性率為91%,真陰性率95%.結論 BP神經網絡可應用于臨床輔助肝癌DSA診斷.
목적 탐토이용BP신경망락대간암수자감영혈관조영(DSA)도상진행계산궤보조진단적응용개치.방법 분석32례간암병례DSA영상자료,응용BP신경망락건립계산궤림상보조진단모형,연후파100개수궤추양측시양본(비병조양본55개,병조양본45개)수입모형험증진단준학솔.결과 간암계산궤보조진단모형성공건립,100개수궤추양양본경모형분석,진양성솔위91%,진음성솔95%.결론 BP신경망락가응용우림상보조간암DSA진단.
Objective 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.
