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MEDICAL IMAGE SYNTHESIS OF ABNORMALITY PATTERNS ASSOCIATED WITH COVID-19

机译:与Covid-19相关的医学图像合成异常模式

摘要

Systems and methods for generating a synthesized medical image are provided. An input medical image is received. A synthesized segmentation mask is generated. The input medical image is masked based on the synthesized segmentation mask. The masked input medical image has an unmasked portion and a masked portion. An initial synthesized medical image is generated using a trained machine learning based generator network. The initial synthesized medical image includes a synthesized version of the unmasked portion of the masked input medical image and synthesized patterns in the masked portion of the masked input medical image. The synthesized patterns is fused with the input medical image to generate a final synthesized medical image.
机译:提供了用于产生合成医学图像的系统和方法。 收到输入的医学图像。 生成合成的分割掩模。 基于合成的分割掩模掩蔽输入的医学图像。 掩模输入医学图像具有未掩蔽部分和遮蔽部分。 使用培训的基于机器学习的发电机网络生成初始合成的医学图像。 初始合成的医学图像包括屏蔽输入医学图像的未掩蔽部分的合成版本和屏蔽输入医学图像的掩模部分中的合成图案。 合成模式与输入医学图像融合以产生最终合成的医学图像。

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