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SYSTEMS AND METHODS FOR MEDICAL IMAGE STYLE TRANSFER USING DEEP NEURAL NETWORKS

机译:使用深神经网络进行医学图像风格转移的系统和方法

摘要

The current disclosure provides for mapping medical images to style transferred medical images using deep neural networks, while maintaining clinical quality of the style transferred medical image, thereby enabling a clinician to evaluate medical images in a preferred style without loss of clinically relevant content. In one embodiment the current disclosure provides for a method comprising, acquiring a medical image of an anatomical region of a subject, wherein the medical image is in a first style, selecting a target style, wherein the target style is distinct from the first style, selecting a clinical quality metric, selecting a trained style transfer network based on the target style and the clinical quality metric, mapping the medical image to a style transferred medical image using the trained style transfer network, wherein the style transferred medical image is in the target style, and displaying the style transferred medical image via a display device.
机译:目前的公开内容提供了使用深神经网络进行映射到风格转移的医学图像的体型,同时保持了转移的医学图像的临床质量,从而使临床医生能够在临床相关内容的情况下以优选的方式评估医学图像。在一个实施例中,目前的公开提供了一种方法,该方法包括获取对象的解剖区域的医学图像,其中医学图像是第一样式,选择目标样式,其中目标样式与第一样式不同,选择临床质量指标,选择基于目标风格的训练样式传输网络和临床质量指标,使用训练的样式传输网络将医学图像映射到样式转移的医学图像,其中转移的医学图像在目标中风格,并通过显示设备显示样式传输了医学图像。

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