Abstract

We have presented in a previous study 111 an algorithm for tissue classification based on Bayes classifier. Here we present an algorithm and instrumentation for classifying liver tissue abnormalities using Artificial Neural Network as the pattern classifier. The instrumentation used is a 50 MHz microcomputer-based data acquisition and analysis system designed by the authors. The algorithm is based on a threelayer back-propagation artificial neural network. Our results show that the algorithm is more accurate and easier to implement than the Bayes classifier. The algorithm is working satisfactorily for classifying simulated normal liver tissue and three types of simulated abnormal i ties.

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