PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Di Bona S., Pieri G., Salvetti O. A multilevel neural network model for density volumes classifications. In: 2nd International Symposium on Image and Signal Processing and Analysis (Pula, Croatia, 19-21 June 2001). Proceedings, pp. 213 - 218. Sven Loncaric and Hrvoje Babic (eds.). University Computing Center, University of Zagreb, 2001.
 
 
Abstract
(English)
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.
Subject Tissue density variation
Brain tomographic scans
I.4 Image processing


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