End-to-end deep learning for recognition of ploidy status using time-lapse videos

被引：0
|
作者：
Lee, C. I. [1 ]
Su, Y. R. [2 ]
Chen, C. H. [1 ]
Chang, T. A. [3 ]
Kuo, E. E. S. [2 ]
Hsieh, W. T. [2 ]
Huang, C. C. [1 ]
Lee, M. S. [1 ]
Liu, M. [2 ]
机构：
[1] Lee Womens Hosp, Div Infertil, Taichung, Taiwan
[2] Binflux Inc, R&D Dept, Taipei, Taiwan
[3] Univ Texas Hlth Sci Ctr San Antonio, Dept Obstet & Gynecol, San Antonio, TX 78229 USA
来源：
HUMAN REPRODUCTION | 2021年 / 36卷
关键词：
D O I：
暂无
中图分类号：
R71 [妇产科学];
学科分类号：
100211 ;
摘要：
O-086
引用
收藏
页码：9 / 9
页数：1
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