Name
Title | ||
|---|---|---|
Evaluation of Alzheimer's disease by analysis of MR images using multilayer perceptrons, polynomial nets and Kohonen LVQ classifiers |
Abstract | ||
|---|---|---|
Alzheimer's disease is the most common cause of dementia, yet hard to diagnose precisely without invasive techniques, particularly at the onset of the disease. This work approaches image analysis and classification of synthetic multispectral images composed by diffusion-weighted magnetic resonance (MR) cerebral images for the evaluation of cerebrospinal fluid area and its correlation with the advance of Alzheimer's disease. The MR images were acquired from an image system by a clinical 1.5 T tomographer. The classification methods are based on multilayer perceptrons, polynomial nets and Kohonen LVQ classifiers. The classification results are used to improve the usual analysis of the apparent diffusion coefficient map. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-71457-6_2 | MIRAGE |
Keywords | Field | DocType |
multilayer perceptrons,synthetic multispectral image,cerebral image,mr image,image system,classification method,kohonen lvq classifier,polynomial net,apparent diffusion coefficient map,classification result,usual analysis,image analysis,multilayer perceptron,magnetic resonance,apparent diffusion coefficient,multispectral images | Computer vision,Polynomial,Pattern recognition,Computer science,Learning vector quantization,Multispectral image,Self-organizing map,Multilayer perceptron,Artificial intelligence,Perceptron,Dementia | Conference |
Volume | ISSN | Citations |
4418 | 0302-9743 | 2 |
PageRank | References | Authors |
0.40 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wellington P. dos Santos | 1 | 36 | 11.00 |
| Ricardo Emmanuel de Souza | 2 | 14 | 4.53 |
| Ascendino F. D. e Silva | 3 | 4 | 0.79 |
| Plínio B. Santos Filho | 4 | 5 | 0.83 |