Using Deep Learning with Large Dataset of Microscope Images to Develop an Automated Embryo Grading System

The assessment of embryo viability for in vitro fertilization (IVF) is mainly based on subjective visual analysis, with the limitation of intra- and inter-observer variation and a time-consuming ta...

[1]  J. Bromer,et al.  Assessment of embryo viability in assisted reproductive technology: shortcomings of current approaches and the emerging role of metabolomics , 2008, Current opinion in obstetrics & gynecology.

[2]  José Celso Rocha,et al.  A Method Based on Artificial Intelligence To Fully Automatize The Evaluation of Bovine Blastocyst Images , 2017, Scientific Reports.

[3]  Loris Nanni,et al.  Artificial intelligence techniques for embryo and oocyte classification. , 2013, Reproductive biomedicine online.

[4]  E. Santos Filho,et al.  A Review on Automatic Analysis of Human Embryo Microscope Images , 2010, The open biomedical engineering journal.

[5]  M. Koutsilieris,et al.  Are computational applications the “crystal ball” in the IVF laboratory? The evolution from mathematics to artificial intelligence , 2018, Journal of Assisted Reproduction and Genetics.

[6]  Christos A. Venetis,et al.  Inter-observer and intra-observer agreement between embryologists during selection of a single Day 5 embryo for transfer: a multicenter study , 2017, Human reproduction.

[7]  J A Noble,et al.  A method for semi-automatic grading of human blastocyst microscope images. , 2012, Human reproduction.

[8]  S. Campbell,et al.  The cumulative embryo score: a predictive embryo scoring technique to select the optimal number of embryos to transfer in an in-vitro fertilization and embryo transfer programme. , 1992, Human reproduction.

[9]  David K Gardner,et al.  Single blastocyst transfer: a prospective randomized trial. , 2004, Fertility and sterility.

[10]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[11]  Jacob F Mayer,et al.  Interobserver and intraobserver variation in day 3 embryo grading. , 2006, Fertility and sterility.