Medical Image Recognition Based on LVQ Neural Network

Liver CT images are the object for research,and a method for medical image recognition using LVQ neural network is proposed.Firstly,confirm the region of interest and make gray-scale mapping transformation.Secondly,extract color,texture and shape features to consist of feature vector that can represent the medical image accurately.Finally,the features are normalized and sent to LVQ neural network for classification.By comparison with other representative neural network method,the experimental result shows that our methods for liver CT image recognition can achieve a satisfactory effect.