Development of a Neuro-fuzzy MR Image Segmentation Approach Using Fuzzy C-Means and Recurrent Neural Network

  • Dipankar Ray
  • D. Dutta Majumder
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5909)

Abstract

A neuro-fuzzy clustering framework has been presented for a meaningful segmentation of Magnetic Resonance medical images. MR imaging provides detail soft tissue descriptions of the target body object and it has immense importance in today’s non-invasive therapeutic planning and diagnosis methods. The unlabeled image data has been classified using fuzzy c-means approach and then the data has been used for training of an Elman neural network. The trained neural net is then used as a ready-made tool for MRI segmentation.

Keywords

Medical Image Segmentation Neuro-Fuzzy Elman Recurrent Neural Network (ERNN) 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Dipankar Ray
    • 1
  • D. Dutta Majumder
    • 2
    • 3
  1. 1.Department of CSEIndian School of MinesDhanbadIndia
  2. 2.Institute of Cybernetics and Information TechnologyKolkataIndia
  3. 3.Indian Statistical InstituteKolkataIndia

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