Automatic segmentation for synchrotron-based imaging of porous bread dough using deep learning approach.

Ali, Salah; Mayo, Sherry; Gostar, Amirali K; Tennakoon, Ruwan; Bab-Hadiashar, Alireza; MCann, Thu; Tuhumury, Helen; Favaro, Jenny

Ali, Salah; Mayo, Sherry; Gostar, Amirali K; Tennakoon, Ruwan; Bab-Hadiashar, Alireza; MCann, Thu; Tuhumury, Helen; Favaro, Jenny.

Afiliación

Ali S; School of Engineering, RMIT University, Australia.
Mayo S; CSIRO Manufacturing, Clayton, Victoria, Australia.
Gostar AK; School of Engineering, RMIT University, Australia.
Tennakoon R; School of Science, RMIT University, Australia.
Bab-Hadiashar A; School of Engineering, RMIT University, Australia.
MCann T; CSIRO Agriculture and Food, Werribee, Victoria, Australia.
Tuhumury H; CSIRO Agriculture and Food, Werribee, Victoria, Australia.
Favaro J; CSIRO Agriculture and Food, Werribee, Victoria, Australia.

J Synchrotron Radiat ; 28(Pt 2): 566-575, 2021 Mar 01.

Article en En | MEDLINE | ID: mdl-33650569

Palabras clave

automatic analysis; bread; deep learning; micro-CT; micro-structure; porosity

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Synchrotron Radiat Asunto de la revista: RADIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Estados Unidos

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