In this case study, we hear from Sina Shafiezadeh, a postdoc in the Department of Metabolism and System Sciences, who is working to track and analyse the details of sperm motility from video microscopy. Accurate and informative assessment of sperm motility is essential for diagnosing male infertility and optimising Assisted Reproductive Technologies (ART) such as in vitro fertilisation (IVF). While Computer-Aided Sperm Analysis … Continue reading “Beyond the head: tail-aware sperm segmentation using fine-tuned AI computer vision models”
