Your browser doesn't support javascript.
loading
An intelligent method for pregnancy diagnosis in breeding sows according to ultrasonography algorithms.
Chae, Jung-Woo; Choi, Yo-Han; Lee, Jeong-Nam; Park, Hyun-Ju; Jeong, Yong-Dae; Cho, Eun-Seok; Kim, Young-Sin; Kim, Tae-Kyeong; Sa, Soo-Jin; Cho, Hyun-Chong.
Afiliação
  • Chae JW; Interdisciplinary Graduate Program for BIT Medical Convergence, Kangwon National University, Chuncheon 24341, Korea.
  • Choi YH; Swine Science Division, National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
  • Lee JN; Interdisciplinary Graduate Program for BIT Medical Convergence, Kangwon National University, Chuncheon 24341, Korea.
  • Park HJ; Swine Science Division, National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
  • Jeong YD; Swine Science Division, National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
  • Cho ES; Swine Science Division, National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
  • Kim YS; Swine Science Division, National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
  • Kim TK; Department of Electronics Engineering, Kangwon National University, Chuncheon 24341, Korea.
  • Sa SJ; Swine Science Division, National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
  • Cho HC; Department of Electronics Engineering and Interdisciplinary Graduate Program for BIT Medical Convergence, Kangwon National University, Chuncheon 24341, Korea.
J Anim Sci Technol ; 65(2): 365-376, 2023 Mar.
Article em En | MEDLINE | ID: mdl-37093914
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Anim Sci Technol Ano de publicação: 2023 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: Diagnostic_studies Idioma: En Revista: J Anim Sci Technol Ano de publicação: 2023 Tipo de documento: Article