Method Based on Image Conditioning and Preprocessing for Human Embryo Classification
Chavez Badiola | Patent No. US 12,136,213 B2
The invention relates to a method that allows a set of embryos to be ranked on the basis of ploidy potential and/or pregnancy generation potential, to aid the process of select- ing embryos for transfer in an in-vitro fertilisation proce- dure. The method measures properties or characteristics of the entire blastocyst; extracts characteristics by identifying different cell types, mainly blastocyst structures and pat- terns, without extracting characteristics of the first cell divisions and the behaviour thereof over time; and predicts the prognosis of pregnancy and/or ploidy (result of genetic study and successful implantation), using micrographs stan- dardised for the management thereof and by means of sequential preprocessing and machine learning algorithms implemented in a computer in order to rank the potential of a set of embryos, to obtain a successful, live, full-term pregnancy.
