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Functional Biomedical Images of Alzheimer's Disease a Green's Function based Empirical Mode Decomposition Study

Al-Baddai, Saad, Neubauer, A., Tome, A. M., Vigneron, V,, Salas-Gonzales, Diego, Puntonet, C. G. and Lang, E. (2016) Functional Biomedical Images of Alzheimer's Disease a Green's Function based Empirical Mode Decomposition Study. Current Alzheimer Research 13 (6), pp. 695-707.

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Abstract

Positron emission tomography (PET) provides a functional imaging modality to detect signs of dementias in human brains. Two-dimensional empirical mode decomposition (2D-EMD) provides means to analyze such images. It decomposes the latter into characteristic modes which represent textures on different spatial scales. These textures provide informative features for subsequent classification ...

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Item type:Article
Date:2016
Institutions:Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
ValueType
10.2174/1567205013666160322141726DOI
Related URLs:
URLURL Type
http://www.eurekaselect.com/node/140608/article/functional-biomedical-images-of-alzheimers-disease-a-greens-functionbased-empirical-mode-decomposition-studyUNSPECIFIED
Keywords:Alzheimer’s disease, empirical mode decomosition, Green’s function, SVM, RF
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
100 Philosophy & psychology > 150 Psychology
600 Technology > 610 Medical sciences Medicine
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:34940
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