DocumentCode
2114158
Title
A Decision Support System for the assisted diagnosis of brain tumors: A feasibility study for 18F-FDG PET preclinical studies
Author
Grosso, Enrico ; Lopez, Miguel ; Salvatore, C. ; Gallivanone, F. ; Di Grigoli, G. ; Valtorta, S. ; Moresco, R. ; Gilardi, M.C. ; Ramirez, J. ; Gorriz, J.M. ; Castiglioni, I.
Author_Institution
Univ. of Milan-Bicocca, Milan, Italy
fYear
2012
fDate
Aug. 28 2012-Sept. 1 2012
Firstpage
6255
Lastpage
6258
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 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.
Keywords
brain; cancer; decision support systems; image classification; image registration; learning (artificial intelligence); medical image processing; positron emission tomography; tumours; 18F-FDG PET preclinical study; arbitrary clinical reasoning; assisted medical diagnosis; brain cancer; brain tumor assisted diagnosis; brain tumour implantation; decision support system; disease progression classification; image registration; pattern recognition method; supervised learning algorithm; Accuracy; Decision support systems; Diseases; Magnetic resonance imaging; Positron emission tomography; Principal component analysis; Support vector machines; Algorithms; Brain Neoplasms; Decision Support Systems, Clinical; Disease Progression; Fluorodeoxyglucose F18; Humans; Positron-Emission Tomography; Principal Component Analysis; Sensitivity and Specificity;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location
San Diego, CA
ISSN
1557-170X
Print_ISBN
978-1-4244-4119-8
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/EMBC.2012.6347424
Filename
6347424
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