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A Decision Support System for the assisted diagnosis of brain tumors: A feasibility study for 18F-FDG PET preclinical studies

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11 Author(s)
Grosso, E. ; Univ. of Milan-Bicocca, Milan, Italy ; Lopez, M. ; Salvatore, C. ; Gallivanone, F.
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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 the classification 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.

Published in:
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE

Date of Conference: Aug. 28 2012-Sept. 1 2012

Page(s):
6255 - 6258
ISSN :
1557-170X
E-ISBN :
978-1-4244-4120-4
Print ISBN:
978-1-4244-4119-8
INSPEC Accession Number:
13119096
Conference Location :
San Diego, CA
Digital Object Identifier :
10.1109/EMBC.2012.6347424

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