Breast Ultrasound Image Synthesis using Deep Convolutional Generative Adversarial Networks

Deep convolutional generative adversarial networks (DCGANs) are newly developed tools for generating synthesized images. To determine the clinical utility of synthesized images, we generated breast ultrasound images and assessed their quality and clinical value. After retrospectively collecting 528...

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Detalles Bibliográficos
Autores principales: Fujioka, Tomoyuki, Mori, Mio, Kubota, Kazunori, Kikuchi, Yuka, Katsuta, Leona, Adachi, Mio, Oda, Goshi, Nakagawa, Tsuyoshi, Kitazume, Yoshio, Tateishi, Ukihide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6963542/
https://www.ncbi.nlm.nih.gov/pubmed/31698748
http://dx.doi.org/10.3390/diagnostics9040176

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6963542/
https://www.ncbi.nlm.nih.gov/pubmed/31698748
http://dx.doi.org/10.3390/diagnostics9040176

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