Multidimensional morphological analysis of live sperm based on multiple-target tracking
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 sperm morphology testing methods, and significantly co...
Main Authors: | Hao Yang, Mengmeng Ma, Xiangfeng Chen, Guowu Chen, Yi Shen, Lijun Zhao, Jianfeng Wang, Feifei Yan, Difeng Huang, Huijie Gao, Hao Jiang, Yuqian Zheng, Yu Wang, Qian Xiao, Ying Chen, Jian Zhou, Jie Shi, Yi Guo, Bo Liang, Xiaoming Teng |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-12-01
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Series: | Computational and Structural Biotechnology Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037024000497 |
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