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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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| Udgivet i: | Diagnostics (Basel) |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI
2019
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| Fag: | |
| Online adgang: | 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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