Multivariate Statistical Analysis and Classification of Zygotes
A. Beuchat, C.O.S. Sorzano, D. Sage, A. Senn, F. Urner, M. Unser
Proceedings of the 2005 Annual Meeting of the Swiss Society for Biomedical Engineering (SSBE'05), Lausanne VD, Swiss Confederation, September 1-2, 2005, pp. F04.
The aim was initiated to assess if morphological characteristics of zygotes could be used as markers of future embryo developmental competence using statistical tools. Thus, allowing us to transfer only the embryos that would result in the highest pregnancy rates while minimizing the high order multiple pregnancies. No study has attempted to evaluate the contribution of morphological characteristics automatically detected by an advanced image analysis tool (see Figure).
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AUTHOR="Beuchat, A. and S{\'{a}}nchez Sorzano, C.{\'{O}}. and Sage, D.
and Senn, A. and Urner, F. and Unser, M.",
TITLE="Multivariate Statistical Analysis and Classification of Zygotes",
BOOKTITLE="Proceedings of the 2005 Annual Meeting of the {S}wiss Society
for Biomedical Engineering ({SSBE'05})",
YEAR="2005",
editor="",
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pages="F04",
address="Lausanne VD, Swiss Confederation",
month="September 1-2,",
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note="")
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