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	AnnoFly: Annotating Drosophila Embryonic Images Based on an Attention-Enhanced RNN Model.
	Yang Yang; Zhou Mingyu; Fang Qingwei; Shen Hong-Bin
刊名	Bioinformatics (Oxford, England)
	2019
ISSN号	1367-4811
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4606465
专题	湖南大学
作者单位	Center for Brain-Like Computing and Machine Intelligence, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Rd., Shanghai, China. Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai, China. School of Bio-medical Engineering, Shanghai Jiao Tong University, Shanghai, China. Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China. Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, China.
推荐引用方式 GB/T 7714	Yang Yang,Zhou Mingyu,Fang Qingwei,et al. AnnoFly: Annotating Drosophila Embryonic Images Based on an Attention-Enhanced RNN Model.[J]. Bioinformatics (Oxford, England),2019.
APA	Yang Yang,Zhou Mingyu,Fang Qingwei,&Shen Hong-Bin.(2019).AnnoFly: Annotating Drosophila Embryonic Images Based on an Attention-Enhanced RNN Model..Bioinformatics (Oxford, England).
MLA	Yang Yang,et al."AnnoFly: Annotating Drosophila Embryonic Images Based on an Attention-Enhanced RNN Model.".Bioinformatics (Oxford, England) (2019).

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