Our paper has been accepted to Computer Methods and Programs in Biomedicine.
Our technology can count the number of bull sperm cells in the microscopic images better and faster than YOLOv3 and v4.
The paper has been available in https://arxiv.org/abs/2003.01395 (Submitted on 3 Mar 2020).

Priyanto Hidayatullah, Xueting Wang, Toshihiko Yamasaki, Tati L.E.R. Mengko, Rinaldi Munir, Anggraini Barlian, Eros Sukmawati, and Supraptono Supraptono
DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos
Computer Methods and Programs in Biomedicine