Method based on image conditioning and preprocessing for human embryo classification
US12136213B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Dec 20, 2019 |
| Grant date | Nov 5, 2024 |
| Priority date | — |
| Expiry date | Nov 4, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
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 selecting embryos for transfer in an in-vitro fertilisation procedure. The method measures properties or characteristics of the entire blastocyst; extracts characteristics by identifying different cell types, mainly blastocyst structures and patterns, 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 standardised 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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.