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- W2371781818 abstract "Aim:To develop a computer-aided diagnostic model of the bronchofibroscopy(BFS) using artificial neural network(ANN) in the auxiliary diagnosis of lung cancer.Methods:Eleven BFS features were extracted after three experienced doctors carefully observing 119 cases of lung neoplasm(64 benign and 55 malignant),and evaluated independently.Randomly selected 30 out of 55 cases of malignant neoplasm and 35 out of 64 cases of benign neoplasm as a training set of network training,and the others,as the test set.Eleven BFS score and 6 clinical parameters were taken as ANN input data.The performance of ANN was compared with that of logistic regression by means of ROC.Results:The sensitivity and specificity of ANN were 94.5% and 96.9%,the sensitivity and specificity of logistic regression were 63.6% and 87.5%,and the area under the ROC of ANN(0.950) was better than that of logistic regression(0.870),P=0.034.Conclusion:ANN can be used in BFS as a method for auxiliary diagnosis of lung cancer." @default.
- W2371781818 created "2016-06-24" @default.
- W2371781818 creator A5084279054 @default.
- W2371781818 date "2010-01-01" @default.
- W2371781818 modified "2023-09-23" @default.
- W2371781818 title "Application of artificial neural network in the diagnosis of lung cancer by bronchofibroscope" @default.
- W2371781818 hasPublicationYear "2010" @default.
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