Objective knowledge of tissue density distribution in CT/MRI brain datasets can be related to
anatomical or neuro-functional regions for assessing pathologic conditions characterised by
slight differences. The process of monitoring illness and its treatment could be then
improved by a suitable detection of these variations. In this paper, we present an approach
for three-dimensional (3D) classification of brain tissue densities based on a hierarchical
artificial neural network (ANN) able to classify the single voxels of the examined datasets …