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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Hlavní autoři: Tomoyuki Fujioka, Mio Mori, Kazunori Kubota, Yuka Kikuchi, Leona Katsuta, Mio Adachi, Goshi Oda, Tsuyoshi Nakagawa, Yoshio Kitazume, Ukihide Tateishi
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2019-11-01
Edice:Diagnostics
Témata:
breast imaging
ultrasound
deep learning
convolutional neural network
generative adversarial networks
artificial intelligence
On-line přístup:https://www.mdpi.com/2075-4418/9/4/176
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