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A SYSTEM AND METHOD FOR AUTOMATED LABELING AND ANNOTATING UNSTRUCTURED MEDICAL DATASETS
A SYSTEM AND METHOD FOR AUTOMATED LABELING AND ANNOTATING UNSTRUCTURED MEDICAL DATASETS
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机译:自动标记和标注非结构化医学数据的系统和方法
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摘要
Supervised and unsupervised learning schemes may be used to automatically label medical images for use in deep learning applications. Large labeled datasets may be generated from a small initial training set using an iterative snowball sampling scheme. A machine learning powered automatic organ classifier for imaging datasets, such as CT datasets, with a deep convolutional neural network (CNN) followed by an organ dose calculation is also provided. This technique can be used for patient-specific organ dose estimation since the locations and sizes of organs for each patient can be calculated independently.
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