Video Based Sperm Motility Grading and YOLOv8 Detection: A Tracking-Free Approach to Automated Semen Analysis
This paper presents a unified deep learning framework for automated sperm counting and motility assessment using Computer-Aided Semen Analysis. Conventional semen analysis is predominantly manual, making it time consuming, subjective, and susceptible to inter-observer variability, whereas existing automated systems oft...