A New Medical Image Classify Approach Based on Rough Neural Network
Jiang Yun · 2006
Detecting tumor in mammography is a difficult task because of complexity in the image. This brings the necessity of creating automatic tools to find whether a mammography present tumor or not. In this paper we join neural network with information gain reduction of rough sets theory which we call the rough neural network(RNN)to classify digital mammography. The experimental results show that the rough neural network performs better than only neural network algorithm in terms of time though it can get 92.37 classify accuracy which is higher than 81.25 using neural network only.