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
fDate :
Aug. 28 2012-Sept. 1 2012
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6347424
