About
Contact & Profiles
A5103068139
Research Areas
- Reproductive Biology and Fertility
- Ovarian function and disorders
- Sperm and Testicular Function
Fudan University
2024
Manual semen evaluation methods are subjective and time-consuming. In this study, a deep learning algorithmic framework was designed to enable non-invasive multidimensional morphological analysis of live sperm in motion, improve current clinical morphology testing methods, significantly contribute the advancement assisted reproductive technologies. We improved FairMOT tracking algorithm by incorporating distance angle same head movement adjacent frames, as well target detection frame IOU...
10.1016/j.csbj.2024.02.025
article
EN
cc-by-nc-nd
Computational and Structural Biotechnology Journal
2024-03-01
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