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Automatic Zebrafish Egg Phenotype Recognition from Bright-Field Microscopic Images Using Deep Convolutional Neural Network
Shang, Shang; Long, Ling; Lin, Sijie; Cong, Fengyu
刊名APPLIED SCIENCES-BASEL
2019
卷号9
关键词zebrafish egg microscopy image processing convolutional neural network
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WOS记录号[DB:DC_IDENTIFIER_WOSID]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/3227431
专题大连理工大学
作者单位1.Dalian Univ Technol, Sch Biomed Engn, Fac Elect Informat & Elect Engn, 2 Linggong St, Dalian 116024, Peoples R China.
2.Tongji Univ, Coll Environm Sci & Engn, Biomed Multidisciplinary Innovat Res Inst,Minist, Shanghai Inst Pollut Control & Ecol Secur,Key Lab, 1239 Siping Rd, Shanghai 200092, Peoples R China.
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GB/T 7714
Shang, Shang,Long, Ling,Lin, Sijie,et al. Automatic Zebrafish Egg Phenotype Recognition from Bright-Field Microscopic Images Using Deep Convolutional Neural Network[J]. APPLIED SCIENCES-BASEL,2019,9.
APA Shang, Shang,Long, Ling,Lin, Sijie,&Cong, Fengyu.(2019).Automatic Zebrafish Egg Phenotype Recognition from Bright-Field Microscopic Images Using Deep Convolutional Neural Network.APPLIED SCIENCES-BASEL,9.
MLA Shang, Shang,et al."Automatic Zebrafish Egg Phenotype Recognition from Bright-Field Microscopic Images Using Deep Convolutional Neural Network".APPLIED SCIENCES-BASEL 9(2019).
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