A modified U-Net to detect real sperms in videos of human sperm cell
This research advances the field of automated sperm segmentation for male infertility diagnosis, showcasing the potential of deep learning techniques. Future work should aim to enhance accuracy in scenarios involving close proximity between sperm cells, ultimately improving clinical sperm analysis.
Authors
- Behnam Maleki (ORCID: https://orcid.org/0000-0003-2403-1197)
- Mohammad Mehdi Sepehri (ORCID: https://orcid.org/0000-0002-9920-7452)
- Hanan Saadat
- Mahdi-Reza Borna
Institutions
- Tarbiat Modares University (IR)
- Shahid Sadoughi University of Medical Sciences and Health Services (IR)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2024-09-09
- DOI
- https://doi.org/10.3389/frai.2024.1376546
- Citations
- 6
- Primary Topic
- Advanced Neural Network Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.50