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Using machine learning to reduce the need for contrast agents in breast MRI through synthetic images

G Müller-Franzes, L Huck, S Tayebi Arasteh, F Khader… - Radiology, 2023 - pubs.rsna.org
Background Reducing the amount of contrast agent needed for contrast-enhanced breast
MRI is desirable. Purpose To investigate if generative adversarial networks (GANs) can …
被引用次数：32 相关文章

Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images

G Müller-Franzes, L Huck, ST Arasteh… - …, 2023 - pubmed.ncbi.nlm.nih.gov
Background Reducing the amount of contrast agent needed for contrast-enhanced breast
MRI is desirable. Purpose To investigate if generative adversarial networks (GANs) can …

Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images.

G Müller-Franzes, L Huck, F Khader, T Han, V Schulz… - Radiology, 2023 - europepmc.org
Background Reducing the amount of contrast agent needed for contrast-enhanced breast
MRI is desirable. Purpose To investigate if generative adversarial networks (GANs) can …