Institute of Information Theories and Applications FOI ITHEA
The problem of cancer diagnosis from multi-channel images using the neural networks is investigated.
The goal of this work is to classify the different tissue types which are used to determine the cancer risk. The
radial basis function networks and backpropagation neural networks are used for classification. The results of
experiments are presented.