PREDICTING EMBRYO MORPHOKINETIC ANNOTATIONS FROM TIME-LAPSE VIDEOS USING CONVOLUTIONAL NEURAL NETWORKS.

被引：6
|
作者：
Gingold, J. A. [1 ]
Ng, N. H. [2 ]
McAuley, J. [2 ]
Lipton, Z. [3 ]
Desai, N. [4 ]
机构：
[1] Cleveland Clin Fdn, Womens Hlth Inst, 9500 Euclid Ave, Cleveland, OH 44195 USA
[2] Univ Calif San Diego, Comp Sci Dept, La Jolla, CA 92093 USA
[3] Carnegie Mellon Univ, Machine Learning Dept, Pittsburgh, PA 15213 USA
[4] Cleveland Clin, OB GYN, Beachwood, OH USA
来源：
FERTILITY AND STERILITY | 2018年 / 110卷 / 04期
关键词：
D O I：
10.1016/j.fertnstert.2018.07.634
中图分类号：
R71 [妇产科学];
学科分类号：
100211 ;
摘要：
P-282
引用
收藏
页码：E220 / E220
页数：1
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