AUTOMATIC SEGMENTATION OF MEDICAL ULTRASONIC IMAGE USING SELF-CREATING AND ORGANIZING NEURAL NETWORK
用自产生和自组织神经网络对超声医学图像进行自动分割

The automatic segmentation of ultrasonic heart image using self-creating and organizing neural network has been studied. This kind of unsupervised clustering method can search for the optimal number of output nodes automatically to get the number of textures in the'image, and finish the automatic segmentation. Experimental results show that this method has significant benefits over self-organizing neural network method.