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Volume 13 Issue 5
September  1998
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Ma Feng, Xia Shaowei. A Multiscale Approach to Automatic Medical Image Segmentation Using Self-Organizing Map[J]. Journal of Computer Science and Technology, 1998, 13(5): 402-409.
Citation: Ma Feng, Xia Shaowei. A Multiscale Approach to Automatic Medical Image Segmentation Using Self-Organizing Map[J]. Journal of Computer Science and Technology, 1998, 13(5): 402-409.
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A Multiscale Approach to Automatic Medical Image Segmentation Using Self-Organizing Map

  • Department of Automation; Tsinghua University; Beijing 100084; P.R. China;

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  • Published Date: September 09, 1998
    Abstract
  • In this paper, a new medical image classification scheme is proposed using selforganizing map (SOM) combined with multiscale technique. It addresses the problem of the handling of edge pixels in the traditional multiscale SOM classifiers. First, to solve the difficulty in manual selection of edge pixels, a multiscale edge detection algorithm based on wavelet transform is proposed. Edge pixels detected are then selected into the training set as a new class and a mu1tiscale SoM classifier is trained using thi…
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    • References (3)
  • [1]
    Xuan J, Adali T, Wang Y. Segmentation of magnetic resonance brain image: Integrating region growing and edge detection. In Prx.ICIP'95, Washington D.C.,1995,pp.544-547.
    [2]
    Wells W M, Crimson W E L, Kikinis R, Jolesz F A. Adaptive segmentation of MRI Data.IEEE Trans.Medical Imaging, Aug. 1996, 15(4): 429-442.
    [3]
    Kamber M, Collins D L, Francis G S, Evans A C. Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain images. IEEE Trans. Medical Imaging, Sept. 1995, 14(3): 442-453. ………..
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