Method and system for evaluating blastocyst quality

Abstract

The present invention relates to a method and system for evaluating blastocyst quality. The method includes: inputting a multi-focus image of a blastocyst into a pre-trained deep learning model, acquiring a development stage of the blastocyst, and acquiring quantitative scores of inner cell mass (ICM) and trophectoderm (TE); acquiring a quantitative score of blastocyst quality from the quantitative scores of ICM and TE; and selecting an optimum blastocyst according to the development stage of the blastocyst and the quantitative score of blastocyst quality. According to the present invention, the quality of blastocysts of the same grade is discriminated, and the overall quality of an embryo is further quantified.

Dependencies are inferred from the claim text.