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SmartWoodID-an image collection of large end-grain surfaces to support wood identification systems.
De Blaere, Ruben; Lievens, Kévin; Van Hassel, Dieter; Deklerck, Victor; De Mil, Tom; Hubau, Wannes; Van Acker, Joris; Bourland, Nils; Verwaeren, Jan; Van den Bulcke, Jan; Beeckman, Hans.
Afiliación
  • De Blaere R; Service of Wood Biology, Royal Museum for Central Africa, Leuvensesteenweg 13, Tervuren 3080, Belgium.
  • Lievens K; Service of Wood Biology, Royal Museum for Central Africa, Leuvensesteenweg 13, Tervuren 3080, Belgium.
  • Van Hassel D; Service of Wood Biology, Royal Museum for Central Africa, Leuvensesteenweg 13, Tervuren 3080, Belgium.
  • Deklerck V; Jodrell laboratory, Royal Botanic Gardens, Kew, Richmond, London TW9 3A, UK.
  • De Mil T; TERRA Teaching and Research Center, Gembloux Agro-Bio Tech (Université de Liège), Passage des Déportés 2, Gembloux 5030, Belgium.
  • Hubau W; Service of Wood Biology, Royal Museum for Central Africa, Leuvensesteenweg 13, Tervuren 3080, Belgium.
  • Van Acker J; UGent-Woodlab, Laboratory of Wood Technology, Department of Environment, Ghent University, Coupure Links 653, Gent 9000, Belgium.
  • Bourland N; UGent-Woodlab, Laboratory of Wood Technology, Department of Environment, Ghent University, Coupure Links 653, Gent 9000, Belgium.
  • Verwaeren J; Service of Wood Biology, Royal Museum for Central Africa, Leuvensesteenweg 13, Tervuren 3080, Belgium.
  • Van den Bulcke J; UGent-KERMIT, Research Unit Knowledge-based, Predictive and Spatio-temporal Modelling, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, Gent 9000, Belgium.
  • Beeckman H; UGent-Woodlab, Laboratory of Wood Technology, Department of Environment, Ghent University, Coupure Links 653, Gent 9000, Belgium.
Database (Oxford) ; 20232023 05 13.
Article en En | MEDLINE | ID: mdl-37178209

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Madera / Inteligencia Artificial Tipo de estudio: Diagnostic_studies Idioma: En Revista: Database (Oxford) Año: 2023 Tipo del documento: Article País de afiliación: Bélgica

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Madera / Inteligencia Artificial Tipo de estudio: Diagnostic_studies Idioma: En Revista: Database (Oxford) Año: 2023 Tipo del documento: Article País de afiliación: Bélgica
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