
Research on accurate detection method of egg embryo activity based on convolutional neural network
Author(s) -
Guang Meng,
天津 天津工业大学 生命科学学院,
Dong Xiang,
Guoqiang Han,
Huiquan Wang,
Zhongqiang Wang,
Zhe Zhao,
天津 天津康复疗养中心,
天津 天津市光电检测技术重点实验室,
天津 爱科维申科技有限公司,
Tianjin Systems
Publication year - 2021
Publication title -
yingyong guangxue
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.229
H-Index - 9
ISSN - 1002-2082
DOI - 10.5768/jao202142.0202003
Subject(s) - convolutional neural network , computer science , embryo , artificial intelligence , pattern recognition (psychology) , biology , fishery