IDENTIFYING INHERENT POOR QUALITY EMBRYO DATA USING ARTIFICIAL INTELLIGENCE TO IMPROVE AI PERFORMANCE AND CLINICAL REPORTING.

被引：0
|
作者：
Dakka, Milad A. [1 ]
VerMilyea, Matthew David [2 ]
Tuc Van Nguyen [1 ]
Perugini, Don [1 ]
Diakiw, Sonya M. [1 ]
Silverberg, Kaylen [3 ]
Hall, Jonathan M. M. [4 ]
Perugini, Michelle [1 ]
机构：
[1] Presagen & Life Whisperer, Adelaide, SA, Australia
[2] Ovat Fertil, San Antonio, TX USA
[3] Texas Fertil Ctr, Austin, TX USA
[4] Australian Res Council Ctr Excellence Nanoscale B, Adelaide, SA, Australia
来源：
FERTILITY AND STERILITY | 2020年 / 114卷 / 03期
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D O I：
暂无
中图分类号：
R71 [妇产科学];
学科分类号：
100211 ;
摘要：
P-100
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收藏
页码：E148 / E148
页数：1
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