Published Paper Details:

Even though in vitro fertilization (IVF) has advanced significantly over the past three decades, the treatment's effectiveness is still comparatively low. Finding the embryo with the highest chance of producing a child is the main task facing physicians and embryologists. The embryo viability assessment techniques used today only offer a rough indication of potential. Usually, multiple embryos are transferred to the uterus to increase the chances of a successful pregnancy. However, this frequently leads to multiple pregnancies (twins, triplets, etc.)(2), which are linked to a markedly increased risk of serious complications. A more precise evaluation of embryo viability would allow for the transfer of fewer embryos without adversely affecting the rates of IVF pregnancies. Numerous scoring systems based on morphological criteria have been developed to help identify viable embryos. These, however, primarily depend on a subjective visual analysis. More precise quantification of important embryonic traits and the removal of inter- and intra-observer variation are possible with automated evaluation of morphological features. In this paper, we review relevant works on embryo image analysis that could result in an automated and accurate grading of embryo quality, and we describe the primary embryo scoring systems currently in use. We highlight accomplishments, talk about upcoming difficulties, and suggest some potential avenues for further research in this area