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Systems and methods for generating normative imaging data for medical image processing using deep learning
Systems and methods for generating normative imaging data for medical image processing using deep learning
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机译:使用深度学习生成用于医学图像处理的规范成像数据的系统和方法
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摘要
Methods and systems are provided for generating a normative medical image from an anomalous medical image. In an example, the method includes receiving an anomalous medical image, wherein the anomalous medical image includes anomalous data, mapping the anomalous medical image to a normative medical image using a trained generative network of a generative adversarial network (GAN), wherein the anomalous data of the anomalous medical image is mapped to normative data in the normative medical image. In some examples, the method may further include displaying the normative medical image via a display device, and/or utilizing the normative medical image for further image analysis tasks to generate robust outcomes from the anomalous medical image.
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