Generating ultrasonic images indistinguishable from real images using Generative Adversarial Networks.

Posilovic, Luka; Medak, Duje; Subasic, Marko; Budimir, Marko; Loncaric, Sven

Posilovic, Luka; Medak, Duje; Subasic, Marko; Budimir, Marko; Loncaric, Sven.

Afiliação

Posilovic L; University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia. Electronic address: luka.posilovic@fer.hr.
Medak D; University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia. Electronic address: duje.medak@fer.hr.
Subasic M; University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia. Electronic address: marko.subasic@fer.hr.
Budimir M; INETEC Institute for Nuclear Technology, Zagreb, Croatia. Electronic address: marko.budimir@inetec.hr.
Loncaric S; University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia. Electronic address: sven.loncaric@fer.hr.

Ultrasonics ; 119: 106610, 2022 Feb.

Article em En | MEDLINE | ID: mdl-34735930

Palavras-chave

Deep learning; Generative Adversarial Network; Non-destructive testing; Synthetic data generation; Ultrasonic testing

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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PubMed Links

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article