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- W2375206093 abstract "Objective To study the artificial neural network (ANN) in the differential diagnosis of solitary pnlmonary nodule(SPN).Methods 150 cases with PSN (including peripheral bronchial carcinoma,hamartoma and tuberculoma in 50 cases respectively,≤3 cm in diameter)proved pathologically were collected in this paper.CT scan and HRCT(slice thickness was 1.25～3 mm)were performed in all cases.Ten fingings of SPN on HRCT(including calcification,fat,vacuole sign,cavication,ari bronchogram,lobutated,spicule,vascular convergence,pleural indentation and salellite focus)were selected as the parameteres of ANN analysis.25 cases in each lesion of 3 types of SPN were randomly selected as training data which were together with ANN toolbox in MATLAB6.1 to establish the ANN system.The remainderes of cases of SPN as the test data were analysed with ANN which was already trained.Results The correct rate of dignosis of the 3 kinds of SPNs (each 25 cases) by ANN was 80%,82% and 84% respectively,with an average accurate rate of 82%.There was no significant difference in statistical study (Ρ0.05).Conclusion ANN is a forefront field in the application of artificial inlelligence in computer aided diagnosis(CAD),and it provides a new assistant pattern for the diagnosis of SPN." @default.
- W2375206093 created "2016-06-24" @default.
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- W2375206093 date "2004-01-01" @default.
- W2375206093 modified "2023-09-28" @default.
- W2375206093 title "Evaluation of Solitary Pulmonary Nodule with the Artificial Neural Network" @default.
- W2375206093 hasPublicationYear "2004" @default.
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