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SYSTEMS AND METHODS FOR CLASSIFYING AN ANOMALY MEDICAL IMAGE USING VARIATIONAL AUTOENCODER
SYSTEMS AND METHODS FOR CLASSIFYING AN ANOMALY MEDICAL IMAGE USING VARIATIONAL AUTOENCODER
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机译：使用变分性AutiaceCoder对异常医学图像进行分类的系统和方法
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摘要
Methods and systems for classifying an image. For example, a method includes: inputting a medical image into a recognition model, the recognition model configured to: generate one or more attribute distributions that are substantially Gaussian when inputted with a normal image; and generate one or more attribute distributions that are substantially non-Gaussian when inputted with an abnormal image; generating, by the recognition model, one or more attribute distributions corresponding to medical image; generating a marginal likelihood corresponding to the likelihood of a sample image substantially matching the medical image, the sample image generated by sampling, by a generative model, the one or more attribute distributions; and generating a classification by at least: if the marginal likelihood is greater than or equal to a predetermined likelihood threshold, determining the image to be normal; and if the marginal likelihood is less than the predetermined likelihood threshold, determining the image to be abnormal.
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