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A low-cost, automated parasite diagnostic system via a portable, robotic microscope and deep learning.
Li, Yaning; Zheng, Rui; Wu, Yizhen; Chu, Kaiqin; Xu, Qianming; Sun, Mingzhai; Smith, Zachary J.
Affiliation
  • Li Y; University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China.
  • Zheng R; University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China.
  • Wu Y; Anhui Agricultural University, Department of Animal Science and Technology, Hefei, China.
  • Chu K; University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China.
  • Xu Q; Anhui Agricultural University, Department of Animal Science and Technology, Hefei, China.
  • Sun M; University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China.
  • Smith ZJ; University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China.
J Biophotonics ; 12(9): e201800410, 2019 09.
Article in En | MEDLINE | ID: mdl-31081258
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pattern Recognition, Automated / Parasitemia / Feces / Deep Learning / Microscopy Type of study: Diagnostic_studies / Guideline / Health_economic_evaluation Limits: Animals Language: En Journal: J Biophotonics Journal subject: BIOFISICA Year: 2019 Document type: Article Affiliation country: China Country of publication: Germany
Fulltext
Add to My VHL
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pattern Recognition, Automated / Parasitemia / Feces / Deep Learning / Microscopy Type of study: Diagnostic_studies / Guideline / Health_economic_evaluation Limits: Animals Language: En Journal: J Biophotonics Journal subject: BIOFISICA Year: 2019 Document type: Article Affiliation country: China Country of publication: Germany