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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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Bibliographische Detailangaben
Veröffentlicht in:Diagnostics (Basel)
Hauptverfasser: Fujioka, Tomoyuki, Mori, Mio, Kubota, Kazunori, Kikuchi, Yuka, Katsuta, Leona, Adachi, Mio, Oda, Goshi, Nakagawa, Tsuyoshi, Kitazume, Yoshio, Tateishi, Ukihide
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI 2019
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6963542/
https://ncbi.nlm.nih.gov/pubmed/31698748
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics9040176
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