http://www.cnr.it/ontology/cnr/individuo/prodotto/ID203718
A Decision Support System for the assisted diagnosis of brain tumors: A feasibility study for (18)F-FDG PET preclinical studies. (Abstract/Comunicazione in rivista)
- Type
- Label
- A Decision Support System for the assisted diagnosis of brain tumors: A feasibility study for (18)F-FDG PET preclinical studies. (Abstract/Comunicazione in rivista) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/EMBC.2012.6347424 (literal)
- Alternative label
Eleonora Grosso; M. López; C. Salvatore; Francesca Gallivanone; Giuseppe Di Grigoli; Silvia Valtorta; Rosa Maria Moresco; Maria Carla Gilardi; J. Ramírez, J. M Górriz and Isabella Castiglioni (2012)
A Decision Support System for the assisted diagnosis of brain tumors: A feasibility study for (18)F-FDG PET preclinical studies.
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Eleonora Grosso; M. López; C. Salvatore; Francesca Gallivanone; Giuseppe Di Grigoli; Silvia Valtorta; Rosa Maria Moresco; Maria Carla Gilardi; J. Ramírez, J. M Górriz and Isabella Castiglioni (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- 34th Annual International Conference of the IEEE EMBS
San Diego, California USA, 28 August - 1 September, 2012 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
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- Comunicazione (literal)
- PubMe (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- University of Milan-Bicocca, Milan, Italy. Fondazione Tecnomed, Milan, Italy. Institute of Molecular Bioimaging and Physiology of the National Research Council (IBFM-CNR), Milan, Italy. Department of Signal Theory, Networking and Communications, University of Granada, Spain. (literal)
- Titolo
- A Decision Support System for the assisted diagnosis of brain tumors: A feasibility study for (18)F-FDG PET preclinical studies. (literal)
- Abstract
- Decision support systems for the assisted medical diagnosis offer the main feature of giving assessments which are poorly affected from arbitrary clinical reasoning. Aim of this work was to assess the feasibility of a decision support system for the assisted diagnosis of brain cancer, such approach presenting potential for early diagnosis of tumors and for theclassification of the degree of the disease progression. For this purpose, a supervised learning algorithm combined with a pattern recognition method was developed and cross-validated in 18F-FDG PET studies of a model of a brain tumour implantation. (literal)
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