Breast Ultrasound Image Synthesis using Deep Convolutional Generative Adversarial Networks

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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Bibliographic Details
Main Authors: Tomoyuki Fujioka, Mio Mori, Kazunori Kubota, Yuka Kikuchi, Leona Katsuta, Mio Adachi, Goshi Oda, Tsuyoshi Nakagawa, Yoshio Kitazume, Ukihide Tateishi
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Diagnostics
Subjects:
breast imaging
ultrasound
deep learning
convolutional neural network
generative adversarial networks
artificial intelligence
Online Access:https://www.mdpi.com/2075-4418/9/4/176

Internet

https://www.mdpi.com/2075-4418/9/4/176

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