Using Deep Learning To Assign Rheumatoid Arthritis Scores

S. Dang, L. Allison
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引用次数: 3

Abstract

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.
使用深度学习分配类风湿关节炎评分
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。
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