Corpus ID: 211817924

DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos

@article{Hidayatullah2020DeepSpermAR,
  title={DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos},
  author={Priyanto Hidayatullah and Xueting Wang and Toshihiko Yamasaki and Tati L.E.R. Mengko and Rinaldi Munir and Anggraini Barlian and Eros Sukmawati and Supraptono Supraptono},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.01395}
}
  • Priyanto Hidayatullah, Xueting Wang, +5 authors Supraptono Supraptono
  • Published in ArXiv 2020
  • Computer Science
  • Background and Objective: Object detection is a primary research interest in computer vision. Sperm-cell detection in a densely populated bull semen microscopic observation video presents challenges such as partial occlusion, vast number of objects in a single video frame, tiny size of the object, artifacts, low contrast, and blurry objects because of the rapid movement of the sperm cells. This study proposes an architecture, called DeepSperm, that solves the aforementioned challenges and is… CONTINUE READING

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