Deep learning methods to forecasting human embryo development in time-lapse videos
A. Sharma, A. Dorobantiu, S. Ali, M. Iliceto, M. H. Stensen, E. Delbarre, M. A. Riegler, H. L. Hammer
This paper introduces an AI system that forecasts future embryo morphology in time-lapse videos using Convolutional LSTM layers, showing accurate predictions for cleavage and blastocyst stages.
bioRxiv · Mar 4, 2024Cell Biology