Figure 1.

Our proposed framework for motility predictions consists of the following steps

First, preprocessing is applied to the videos after which the spermatozoa are tracked. From these tracks, features are extracted in the form of custom movement statistics (CMS) and mean squared displacement (MSD). Finally, we aggregate those features and use them to train different networks for motility prediction.