About the Project
This project aims to: 1) Creating/improving deep learning algorithms that will objectively and reliably annotate embryo images for downstream epidemiological and statistical analyses. 2) Creating ML/AI models to predict clinical pregnancy, fetal heartbeat, and/or live birth 3) Applying ML/AI model to improve our understanding of human embryo development. To achieve these aims you will use the latest in AI/ML techniques such as YOLOv4, Custom DNN, SE blocks, RNN, Random Forests, Boosting, Bagging amongst others.
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