Document - Brain volumes characterization using hierarchical neural networks

2003

Journal article Open Access

Brain volumes characterization using hierarchical neural networks

Di Bona S, Niemann H, Pieri G, Salvetti O

Image Classification Medical imaging 3D images Artificial Intelligence Medicine (miscellaneous) Neural Networks

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. The method developed was tested on case studies selected by an expert neuro-radiologist and consisting of both normal and pathological conditions. The results obtained were submitted for validation to a group of physicians and they judged thesystem to be really effective in practical applications.

Source: ARTIFICIAL INTELLIGENCE IN MEDICINE, vol. 28 (issue 3), pp. 307-322

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@article{oai:it.cnr:prodotti:43686,
	title = {Brain volumes characterization using hierarchical neural networks},
	author = {Di Bona S and Niemann H and Pieri G and Salvetti O},
	doi = {10.1016/s0933-3657(03)00061-7},
	year = {2003}
}