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X-RAY IMAGE SYNTHESIS FROM CT IMAGES FOR TRAINING NODULE DETECTION SYSTEMS

机译:来自CT图像的X射线图像合成用于训练结节检测系统

摘要

Systems and methods for generating synthesized medical images for training a machine learning based network are provided. An input medical image in a first modality is received. The input medical image comprises a nodule region for each of one or more nodules and a remaining region. The input medical image comprises an annotation for each of the one or more nodules. A synthesized medical image in a second modality is generated from the input medical image. The synthesized medical image comprises the annotation for each of the one or more nodules. A synthesized nodule image of each of the nodule regions and synthesized remaining image of the remaining region are generated in the second modality. It is determined whether each particular nodule of the one or more nodules is visible in the synthesized medical image based on at least one of the synthesized nodule image for the particular nodule and the synthesized remaining image. In response to determining that at least one nodule of the one or more nodules is not visible in the synthesized medical image, the annotation for the at least one not visible nodule is removed from the synthesized nodule image.
机译:提供了用于生成用于训练基于机器学习网络的合成医学图像的系统和方法。接收第一模态中的输入医学图像。输入医学图像包括用于一个或多个结节和剩余区域中的每一个的结节区域。输入医学图像包括用于每个结节的每个结节的注释。从输入的医学图像产生第二模态中的合成医学图像。合成的医学图像包括对一个或多个结节中的每一个的注释。在第二模态中产生每个结节区域和剩余区域的合成剩余图像的合成结节图像。确定一个或多个结节的每个特定结节是否在合成的医学图像中可见,基于特定结节的合成结节图像中的至少一个和合成的剩余图像。响应于确定在合成的医学图像中不可见一个或多个结节的至少一个结节,从合成的结节图像中除去至少一个不可见结节的注释。

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