Research of Recognition of Mild Fatty Liver Based on Animal Experiment of Wistar Rat

It' s difficult to diagnose mild fatty liver correctly in clinic,so the research of recognition of mild fatty liver by using animal experiment data of Wistar rat is proposed in this paper.Firstly several characteristic parameters are selected from ultrasound radiofrequency signal of livers,then hypothesis testing is used to obtain the best characteristic vector,finally BP neural network combined with Fuzzy function is used to quantify the degree of fatty livers.The results show that,the accuracy rates of classification is 97.50 and 94.29 for normal liver and mild fatty liver separately,and false negative rate and false positive rate is 2.5 and 5.71 separately.