Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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A Study on the Morphometric Analysis of Spermatozoa Using Artificial Neural Networks

인공신경 회로망을 이용한 정자의 형태학적 특성 분석에 관한 연구

  • Yi, W.J. (Interdisciplinary Program in Medical and Biological Engineering Major, Seoul Nat'l Univ.) ;
  • Park, K.S. (Dept. of Biomedical Engineering, College of Medicine, Seoul Nat'l Univ.) ;
  • Baek, J.S. (Dept. of Urology, College of Medicine, Seoul Nat'l Univ.) ;
  • Jeon, S.S. (Dept. of Urology, College of Medicine, Seoul Nat'l Univ.)
  • 이원진 (서울대학교 대학원 협동과정 의용생체공학) ;
  • 박광석 (서울대학교 의과대학 의공학 교실) ;
  • 백재승 (서울대학교 의과대학 비뇨기과학 교실) ;
  • 전성수 (서울대학교 의과대학 비뇨기과학 교실)
  • Published : 1996.11.15
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Abstract

In male reproducible health and fertility and IVF(in-vitro fertilization), semen analysis has been most important. But the traditional tools for semen analysis are subjective, imprecise, inaccurate, difficult to standardize, and difficult to reproduce mainly due to their manually oriented operations. The purpose of a morphometric analysis of sperm is to microscopically type-classify spermatozoa cytologically according to their morphology of heads. Until now, the strict criteria method has long been used in clinic to discriminate normal spermatozoa from abnormal ones. This method cannot classify the diverse groups of abnormal spermatozoa in detail and shows variations in inter-operators and intra-operator In this paper, we developed a new method of a sperm morphometric analysis using artificial neural networks which are widely used in pattern recognition and image processing.

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