In this paper we present an approach for the classification of tissue density in three dimensional brain tomographic scans. The proposed approach is based on a hierarchical neural network model able to classify the single voxel of the examined dataset. The results have shown that the method has a good effectiveness in practical applications and that it can be used for designing a full 3D instrument suitable to support the analysis of diseased diagnosis and follow-up.
A multilevel neural network model for density volumes classifications
Pieri G;Salvetti O
2001
Abstract
In this paper we present an approach for the classification of tissue density in three dimensional brain tomographic scans. The proposed approach is based on a hierarchical neural network model able to classify the single voxel of the examined dataset. The results have shown that the method has a good effectiveness in practical applications and that it can be used for designing a full 3D instrument suitable to support the analysis of diseased diagnosis and follow-up.File in questo prodotto:
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Descrizione: A multilevel neural network model for density volumes classifications
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