Abnormal tissue detection in computer tomography images using artificial neural networks

Artificial neural network solutions have been applied to numerous image applications in the recent past. This paper describes a method to detect abnormal tissues in computer tomography (CT) head images by using an artificial neural network. We use a three-layer perceptron: An input layer with 882 nodes, one hidden layer with 30 nodes and an output layer with 3 nodes. The output nodes represent the bone, soft and abnormal tissue. The input layer of network does not directly receive the data from the original image. Two processes are applied to the pixels in subimage which has 7×7 pixels, and the results are fed to the input layer of the network. These processes provide necessary information for the tissue identification.