An intelligent medical image understanding method using two-tier neural network ensembles

Abstract

This paper proposes an intelligent medical image understanding method using a novel two-tier artificial neural network ensembles framework to identify lung cancer cells and discriminate among different lung cancer types by analyzing the chromatic images acquired from the microscope slices of needle biopsy specimens. In this way, each neural network takes the shape and color features extracting from lung cancer cell images as the inputs and all the five possible identification results as its output. © Springer-Verlag Berlin Heidelberg 2005.