http://www.cnr.it/ontology/cnr/individuo/prodotto/ID43653
Computational complexity analysis of a 3D neural network approach to volume matching (Articolo in rivista)
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- Label
- Computational complexity analysis of a 3D neural network approach to volume matching (Articolo in rivista) (literal)
- Anno
- 2002-01-01T00:00:00+01:00 (literal)
- Alternative label
Di Bona S., Niemann H., Salvetti O., Wolf M. (2002)
Computational complexity analysis of a 3D neural network approach to volume matching
in Pattern recognition
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Di Bona S., Niemann H., Salvetti O., Wolf M. (literal)
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- Pagina fine
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- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- (Pubblicazione A0-14) (literal)
- Note
- ISI Web of Science (WOS) (literal)
- Titolo
- Computational complexity analysis of a 3D neural network approach to volume matching (literal)
- Abstract
- Automatic registration of digital images is an important support in the
medical field for physicians and surgeons. In fact, comparison of
anatomical scan is a fundamental procedure for disease prediction, lesions
quantification or for evaluating the results of a therapy. A new proposed
approach implements three-dimensional neural networks to match, and hence
to register, volumetric data sets of the brain in order to evaluate the
differences between two volumes. The high computational complexity of
this approach has been improved by implementing a more efficient method to
train the networks.
(literal)
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