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Assisting the Human Embryo Viability Assessment by Deep Learning for In Vitro Fertilization

2023-04-24

Abstract excerpt

The increasing global infertility rate is a matter of significant concern. In vitro fertilization (IVF) significantly minimizes infertility by providing an alternative clinical means of becoming pregnant. The success of IVF mainly depends on the assessment and analysis of human blastocyst components such as the blastocoel (BC), zona pellucida (ZP), inner cell mass (ICM), and trophectoderm (TE). Embryologists perfo...

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Literature Corpus work
6f53bab6-e9fe-5b32-a128-c42ad0d65295
DOI
10.3390/math11092023
Open publication

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Assisting the Human Embryo Viability Assessment by Deep Learning for In Vitro FertilizationDOI 10.3390/math11092023
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