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Automatic quantification and classification of microplastics in scanning electron micrographs via deep learning.
Shi, Bin; Patel, Medhavi; Yu, Dian; Yan, Jihui; Li, Zhengyu; Petriw, David; Pruyn, Thomas; Smyth, Kelsey; Passeport, Elodie; Miller, R J Dwayne; Howe, Jane Y.
Afiliação
  • Shi B; Department of Materials Science and Engineering, University of Toronto, ON M5S 3H5, Canada. Electronic address: binmse.shi@mail.utoronto.ca.
  • Patel M; Department of Chemical Engineering and Applied Chemistry, University of Toronto, ON M5S 3E5, Canada.
  • Yu D; Department of Materials Science and Engineering, University of Toronto, ON M5S 3H5, Canada.
  • Yan J; Department of Materials Science and Engineering, University of Toronto, ON M5S 3H5, Canada.
  • Li Z; Department of Mathematical and Computational Sciences, University of Toronto Mississauga, ON L5L 1C6, Canada.
  • Petriw D; Department of Materials Science and Engineering, University of Toronto, ON M5S 3H5, Canada.
  • Pruyn T; Department of Materials Science and Engineering, University of Toronto, ON M5S 3H5, Canada.
  • Smyth K; Department of Civil and Mineral Engineering, University of Toronto, ON M5S 1A4, Canada.
  • Passeport E; Department of Chemical Engineering and Applied Chemistry, University of Toronto, ON M5S 3E5, Canada; Department of Civil and Mineral Engineering, University of Toronto, ON M5S 1A4, Canada.
  • Miller RJD; Departments of Chemistry and Physics, University of Toronto, ON M5S 3H6, Canada.
  • Howe JY; Department of Materials Science and Engineering, University of Toronto, ON M5S 3H5, Canada; Department of Chemical Engineering and Applied Chemistry, University of Toronto, ON M5S 3E5, Canada.
Sci Total Environ ; 825: 153903, 2022 Jun 15.
Article em En | MEDLINE | ID: mdl-35192829
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Microplásticos Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Microplásticos Idioma: En Ano de publicação: 2022 Tipo de documento: Article