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A multi-task generative model for simultaneous post-contrast MR image synthesis and brainstem glioma segmentation.

Yajing ZhangYanxin HuangXiangyu XiongYaou LiuJin Qi
Published in: Magnetic resonance imaging (2024)
The synthesized post-contrast MR image presented in this study has the potential to reduce the usage of gadolinium-based contrast agents, which may pose risks to patients. Moreover, the automated segmentation method proposed in this paper aids radiologists in accurately identifying the brainstem glioma lesion, facilitating the diagnostic process.
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