• Corpus ID: 231419022

Predicting Semen Motility using three-dimensional Convolutional Neural Networks

@article{Priyansi2021PredictingSM,
  title={Predicting Semen Motility using three-dimensional Convolutional Neural Networks},
  author={Priyansi and Biswaroop Bhattacharjee and Junaid Rahim},
  journal={ArXiv},
  year={2021},
  volume={abs/2101.02888}
}
Manual and computer aided methods to perform semen analysis are time-consuming, requires extensive training and prone to human error. The use of classical machine learning and deep learning based methods using videos to perform semen analysis have yielded good results. The state-of-the-art method uses regular convolutional neural networks to perform quality assessments on a video of the provided sample. In this paper we propose an improved deep learning based approach using three-dimensional… 

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