Studies on image recognition of human sperms using a neural network

  • Kitamura, S. (The Faculty of Engineering, Kobe University) ;
  • Tanaka, K. (The Faculty of Engineering, Kobe University) ;
  • Kurematsu, Y. (The Faculty of Engineering, Kobe University) ;
  • Takeshima, M. (Sumitomo Rubber Industries, Co.Ltd.) ;
  • Iwahara, H. (The Faculty of Engineering, Kobe University) ;
  • Teraguchi, T. (Sumitomo Rubber Industries, Co.Ltd.)
  • Published : 1989.10.01

Abstract

Three layered neural network was applied for the pattern recognition problem of human spermatozoa in clinical test. The goodness of recognition rate was studied in relation to the number of hidden layer cells and of output layer cells. The proposed method provided better results than conventional template matching technique. Parallel processing of the back propagation learning algorithm was also studied using transputers and its performance was evaluated.

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