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)
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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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