使用深度学习分配类风湿关节炎评分

S. Dang, L. Allison
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引用次数: 3

摘要

在这项工作中,我们报告了深度学习模型在自动分配类风湿关节炎患者x射线图像的关节评分和总体患者评分方面的性能。数据集来自RA2 DREAM Challenge https://www.synapse.org/#!Synapse:syn20545111/wiki/594083。总体而言,我们获得了良好的预测性能,平均准确率为0.908。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Deep Learning To Assign Rheumatoid Arthritis Scores
In this work, we report the performance of the deep learning model in automatically assigning joint scores and overall patients scores for Rheumatoid Arthritis patients’ X-ray images. The dataset is from RA2 DREAM Challenge https://www.synapse.org/#!Synapse:syn20545111/wiki/594083. Overall, we achieve good predictive performance with an average accuracy of 0.908.
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