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StomaAI: an efficient and user-friendly tool for measurement of stomatal pores and density using deep computer vision.
Sai, Na; Bockman, James Paul; Chen, Hao; Watson-Haigh, Nathan; Xu, Bo; Feng, Xueying; Piechatzek, Adriane; Shen, Chunhua; Gilliham, Matthew.
Afiliação
  • Sai N; Plant Transport and Signalling Lab, ARC Centre of Excellence in Plant Energy Biology, Waite Research Institute, Glen Osmond, SA, 5064, Australia.
  • Bockman JP; School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, 5064, Australia.
  • Chen H; The Australian Institute for Machine Learning, Adelaide, SA, 5005, Australia.
  • Watson-Haigh N; School of Computer Science, University of Adelaide, Adelaide, SA, 5005, Australia.
  • Xu B; The Australian Institute for Machine Learning, Adelaide, SA, 5005, Australia.
  • Feng X; School of Computer Science, University of Adelaide, Adelaide, SA, 5005, Australia.
  • Piechatzek A; South Australian Genomics Centre, SAHMRI, Adelaide, SA, 5000, Australia.
  • Shen C; Australian Genome Research Facility, Victorian Comprehensive Cancer Centre, Melbourne, Vic., 3000, Australia.
  • Gilliham M; Plant Transport and Signalling Lab, ARC Centre of Excellence in Plant Energy Biology, Waite Research Institute, Glen Osmond, SA, 5064, Australia.
New Phytol ; 238(2): 904-915, 2023 04.
Article em En | MEDLINE | ID: mdl-36683442
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arabidopsis Limite: Humans Idioma: En Revista: New Phytol Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arabidopsis Limite: Humans Idioma: En Revista: New Phytol Ano de publicação: 2023 Tipo de documento: Article