A two stage decision model for breast cancer detection
Smaranda Belciug · Annals of the University of Craiova Mathematics and Computer Science Series · 2010
The use of computer technology supporting medical decision is now widespread and pervasive across a broad range of medical areas. Accordingly, computer-aided diagnosis has become an increasingly important area for intelligent computational systems. The aim of this paper is to present a two stage model containing several different neural networks: multi-layer neural perceptron (MLP), radial basis function (RBF) and Probabilistic Neural Networks (PNN), and the effectiveness of this system on a real breast cancer database, to support the medical decision process.