MSENet: Marbling score estimation network for automated assessment of Korean beef.

Lee, Hyo-Jun; Koh, Yeong Jun; Kim, Young-Kuk; Lee, Seung Hwan; Lee, Jun Heon; Seo, Dong Won

Lee, Hyo-Jun; Koh, Yeong Jun; Kim, Young-Kuk; Lee, Seung Hwan; Lee, Jun Heon; Seo, Dong Won.

Afiliação

Lee HJ; Department of Bio-AI Convergence, Chungnam National University, Daejeon 305-764, Republic of Korea.
Koh YJ; Department of Computer Science & Engineering, Chungnam National University, Daejeon 305-764, Republic of Korea. Electronic address: yjkoh@cnu.ac.kr.
Kim YK; Department of Computer Science & Engineering, Chungnam National University, Daejeon 305-764, Republic of Korea.
Lee SH; Division of Animal and Dairy Science, Chungnam National University, Daejeon 305-764, Republic of Korea. Electronic address: slee46@cnu.ac.kr.
Lee JH; Division of Animal and Dairy Science, Chungnam National University, Daejeon 305-764, Republic of Korea.
Seo DW; Division of Animal and Dairy Science, Chungnam National University, Daejeon 305-764, Republic of Korea; TNT Research. Co., Ltd., Anyang, Republic of Korea.

Meat Sci ; 188: 108784, 2022 Jun.

Article em En | MEDLINE | ID: mdl-35263705

Assuntos

Algoritmos; Processamento de Imagem Assistida por Computador; Animais; Bovinos; Processamento de Imagem Assistida por Computador/métodos; República da Coreia

Palavras-chave

Automated beef grading system; Beef marbling; Computer vision; Convolutional neural networks; Deep learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Imagem Assistida por Computador Limite: Animals País/Região como assunto: Asia Idioma: En Revista: Meat Sci Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2022 Tipo de documento: Article País de publicação: Reino Unido

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