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Approaches to training multiclass semantic image segmentation of damage in concrete.
Bajcsy, P; Feldman, S; Majurski, M; Snyder, K; Brady, M.
Afiliação
  • Bajcsy P; Software and Systems Division, Information Technology Laboratory, NIST, Gaithersburg, Maryland, U.S.A.
  • Feldman S; Materials and Structual Systems Division, Engineering Laboratory, NIST, Gaithersburg, Maryland, U.S.A.
  • Majurski M; Software and Systems Division, Information Technology Laboratory, NIST, Gaithersburg, Maryland, U.S.A.
  • Snyder K; Materials and Structual Systems Division, Engineering Laboratory, NIST, Gaithersburg, Maryland, U.S.A.
  • Brady M; Software and Systems Division, Information Technology Laboratory, NIST, Gaithersburg, Maryland, U.S.A.
J Microsc ; 279(2): 98-113, 2020 08.
Article em En | MEDLINE | ID: mdl-32406521
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article