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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Main Authors: Tomoyuki Fujioka, Mio Mori, Kazunori Kubota, Yuka Kikuchi, Leona Katsuta, Mio Adachi, Goshi Oda, Tsuyoshi Nakagawa, Yoshio Kitazume, Ukihide Tateishi
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2019-11-01
Series:Diagnostics
Assuntos:
breast imaging
ultrasound
deep learning
convolutional neural network
generative adversarial networks
artificial intelligence
Acceso en liña:https://www.mdpi.com/2075-4418/9/4/176
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