A Two-Step Area Based Method for Automatic Tight Segmentation of Zona Pellucida in HMC Images of Human Embryos

An important prognostic parameter for assessing the success of an in vitro fertilization treatment is the variation in thickness of the zona pellucida. Zona pellucida, the envelope of the human embryo, is usually visualized using Hoffman modulation contrast microscopy (HMC). This paper considers aut...

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Bibliographische Detailangaben

Hauptverfasser:	Karlsson, Adam, Overgaard, Niels Chr, Heyden, Anders
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Automatic Segmentation Computer science control theory systems Curve Evolution Exact sciences and technology Human Embryo Image Model Pattern recognition. Digital image processing. Computational geometry Zona Pellucida
Online-Zugang:	Volltext
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