CSV file contains a new label (empty) for an open source embryo morphokinetic dataset[1]. Updating these labels was done with a EfficientNetV2 Large built upon a proprietary dataset. Relabeling these images had an outsized effect on model performance in our work[2].
[1] Gomez T, Feyeux M, Boulant J, Normand N, David L, Paul-Gilloteaux P, Fréour T, Mouchère H. A time-lapse embryo dataset for morphokinetic parameter prediction. Data Brief. 2022 May 11;42:108258. doi: 10.1016/j.dib.2022.108258. PMID: 35599827; PMCID: PMC9120221.
[2] Misaghi et. al. Accurate Machine Learning Model for Human Embryo Morphokinetic Stage Detection
Funding
Improving IVF success rates through machine learning