Neural Network Based Ultrasonic Medical Image Automatic Segmentation

Segmentation is one of the most important and difficult problems in multidimensional ultrasonic medical image reconstruction.An automatic segmentation method combining the nearest neighbor classifier with self-organization neural network is studied in this paper.In addition to the automatic segmentation benefit,it is proved by experiments that the method exceeds the traditional K-means method in stability,adaptability and exactness etc.