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Article

Automatic Identification of Human Blastocyst Components via Texture

5 Oct 2017

Abstract excerpt

Choosing the most viable embryo during human in vitro fertilization (IVF) is a prime factor in maximizing pregnancy rate. Embryologists visually inspect morphological structures of blastocysts under microscopes to gauge their health. Such grading introduces subjectivity amongst embryologists and adds to the difficulty of quality control during IVF. In this paper, we introduce an algorithm for automatic...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 28991729
DOI: 10.1109/tbme.2017.2759665

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