Prediction of malignancy in adnexal masses using an artificial neural network
- VernacularTitle:人工神经网络在超声诊断附件包块良恶性中的应用
- Author:
Liming WANG
;
Qingzhao FU
;
Tianjin FENG
- Publication Type:Journal Article
- Keywords:
Ultrasonography;
Adnexal diseases;
Neural networks(computer)
- From:
Chinese Journal of Ultrasonography
2003;0(08):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the performance of artificial neural network(ANN) models for predicting ovarian malignancy in the patients with adnexal masses by using B-mode and color Doppler ultrasonography.Methods The data of 180 patients with adnexal masses were randomly divided into training and testing subsets.The training subsets were used to screen out significant single parameters and to compute the optimum statistic equations and to train the ANN.The testing subsets were used to estimate the performance of each of the two models in predicting ovarian malignancy.Results Thirteen of seventeen parameters were significant to diagnose malignancy in adnexal masses by single analysis(P
