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Medical Images Analysis: An Application of Artificial Neural Networks in the Diagnosis of Human Tissues

  • Elias Restum Antonio
  • Luiz Biondi Neto
  • Vincenzo Junior
  • Fernando Hideo Fukuda
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2085)

Abstract

This article presents an Artificial Neural Networks (ANN) application in the image diagnosis process, by the tissues densities obtained in Computerized Tomography (CT) exams and related to Cerebral Vascular Accidents (CVAs). Among the usually analyzed aspects are the density, the form, the size and the location of these characteristic aspects of the image. As said by specialists in this area, the most relevant attribute is the analysis of the tissues densities. Considering this fact, our paper will investigate neurological pathologies in Computerized Tomography based in the tissues densities of the tomographic images.

The images to be diagnosed are digitalized, and then pre-processed, receiving an adequate mathematical treatment to be used as ANN training patterns and tests.

Keywords

Diagnosis of CVA Diagnosis for Image Automatic Diagnosis of CVAs and ANNs 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Elias Restum Antonio
    • 1
  • Luiz Biondi Neto
    • 2
  • Vincenzo Junior
    • 1
  • Fernando Hideo Fukuda
    • 1
  1. 1.Departamento de Ciências Exatas e TecnologiaUniversidade Veiga de AlmeidaPortugal
  2. 2.Departamento de Eletrônica e TelecomunicaçõesUERJPortugal

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