Medical Image Classification and Symptoms Detection Using Fuzzy NARX Technique

Part of the IFMBE Proceedings book series (IFMBE, volume 49)

Abstract

In this paper the novel neural NARX technique was applied for classification and detection purposes. Decision making was performed in two stages: feature extraction using the principal component analysis (PCA) and the neural NARX model trained with the backpropagation method. The performance of the neural NARX-based classifier was evaluated in terms of training and classification accuracies. The results confirmed that the proposed neural NARX-based classifier has potential in detecting the tumors.

Keywords

medical image classification neural NARX technique principal component analysis (PCA) back propagation (BP) method sympton tetection 

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Copyright information

© IFMBE 2013

Authors and Affiliations

  1. 1.Ho Chi Minh City University of TechnologyHo Chi Minh CityVietnam
  2. 2.Nguyen Trai HospitalHo Chi Minh CityVietnam

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