Yuzhou Hu

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Recent studies have demonstrated the effectiveness of proactive resource allocation under the assumption of perfect prediction of the user's future data rate. In this paper, imperfect rate prediction merely based on the context information including large-scale channel gains of users and statistical information of system available resources is considered.(More)
PURPOSE Digital Breast Imaging Reporting and Data System (BI-RADS) features extracted from ultrasound images are essential in computer-aided diagnosis, prediction, and prognosis of breast cancer. This study focuses on the reproducibility of quantitative high-throughput BI-RADS features in the presence of variations due to different segmentation results,(More)
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