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Detecting and classifying medical images based on continuously-learning whole body landmarks detections
Detecting and classifying medical images based on continuously-learning whole body landmarks detections
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机译：基于持续学习的全身地标检测检测和分类医学图像
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摘要
A computer-implemented method for automatically generating metadata tags for a medical image includes receiving a medical image and automatically identifying a set of body landmarks in the medical image using one or more machine learning models. A set of rules are applied to the set of body landmarks to identify anatomical objects present in the image. As an alternative to using the set of rules, in some embodiments, one or more machine learning models to the set of body landmarks to identify anatomical objects present in the image. Once the anatomical objects are identified, metadata tags corresponding to the anatomical objects are generated and stored in the medical image. Then, the medical image with the metadata tags is transferred to a data repository.
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