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Original paper

Using deep learning to generate synthetic B-mode musculoskeletal ultrasound images

Volume: 196, Pages: 105583 - 105583
Published: Jun 4, 2020
Abstract
Deep learning approaches are common in image processing, but often rely on supervised learning, which requires a large volume of training images, usually accompanied by hand-crafted labels. As labelled data are often not available, it would be desirable to develop methods that allow such data to be compiled automatically. In this study, we used a Generative Adversarial Network (GAN) to generate realistic B-mode musculoskeletal ultrasound images,...
Paper Details
Title
Using deep learning to generate synthetic B-mode musculoskeletal ultrasound images
Published Date
Jun 4, 2020
Volume
196
Pages
105583 - 105583
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