Abstract: 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.

Keywords: neural networks, backpropagation, RBF, uterine cervix, cancer, classification.

ACM Classification Keywords: I.5.1 Pattern Recognition - Neural nets

Link:

THE USAGE OF NEURAL NETWORKS FOR THE MEDICAL DIAGNOSIS

Kateryna Malyshevska

http://foibg.com/ibs_isc/ibs-09/ibs-09-p09.pdf