Paper Info
Title
A dialectical approach for classification of DW-MR Alzheimer's images.
Abstract
Multispectral image analysis is a relatively promising field of research with applications in several areas, such as medical imaging and satellite monitoring. However, a considerable number of current methods of analysis are based on parametric statistics. Alternatively, some methods in Computational Intelligence are inspired by biology and other sciences. Here we claim that Philosophy can be also considered as a source of inspiration. This work proposes the Objective Dialectical Method (ODM), which is a computational intelligent method for classification based on the Philosophy of Praxis. Here, ODM is instrumental in assembling evolvable mathematical tools to analyze multispectral images. In the case study described in this paper, such multispectral images are composed of diffusion-weighted (DW) magnetic resonance (MR) images. The results are compared to ground-truth images produced by polynomial networks using a morphological similarity index.
Year
DOI
Venue
2008
10.1109/CEC.2008.4631023
IEEE Congress on Evolutionary Computation
Keywords
Field
DocType
biomedical imaging,computational intelligence,computational modeling,magnetic resonance,medical imaging,polynomials,classification algorithms,multispectral images,multispectral imaging,image classification,pixel,parametric statistics,ground truth,neural nets,computational biology,satellites,competitive intelligence,image analysis,force
Computer vision,Computational intelligence,Computer science,Medical imaging,Multispectral image,Parametric statistics,Artificial intelligence,Pixel,Artificial neural network,Contextual image classification,Statistical classification,Machine learning
Conference
ISBN
Citations 
PageRank 
978-1-4244-1823-7
3
0.43
References 
Authors
11
5
Name
Order
Citations
PageRank
Wellington P. dos Santos13611.00
Ricardo Emmanuel de Souza2144.53
Plínio B. Santos Filho350.83
Fernando Buarque de Lima Neto49416.55
Francisco M. De Assis5105.15