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Neural networks for parallel contrast enhancement in medical images

  • J. Mattes
  • D. Trystram
  • J. Demongeot
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 919)

Abstract

The aim of the project described in this paper is contrast enhancement in medical images in real time. Our approach is a parallel neural network algorithm, implemented in a SIMD environement. We describe a new learning rule for this algorithm. We design an optimal communication pattern and some experiments on a parallel machine for treating a real image.

Keywords

Learning Rule Input Matrix Presynaptic Neuron Neural Network Technique Processor Element 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • J. Mattes
    • 1
  • D. Trystram
    • 2
  • J. Demongeot
    • 1
  1. 1.TIMC-IMAGUniversité Joseph FourierLa Tronche CedexFrance
  2. 2.LMC-IMAGGrenoble CedexFrance

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