A tumor diagnostic method based on neural network
Zhenjia Li · Journal of medical imaging · 2009
Objective:To evaluate the value of BP neural network for tumor diagnosis.Methods:The eigenvectors of 60 group benign and 60 group malignant tumors were taken as the BP network training samples for the artificial neural network,then the artificial neural network was used to study the data of a tumor.Results:This study included 30 groups samples,29 ones obtained ideal output data and get a higher rate of diagnosis.Conclusion:The multi-layer neural network has better applied value for tumor diagnosis.