Research and Practice of X-ray Chest Film Disease Classification based on DenseNet

Liang Bing-jin, Yin Jian, Lin Yan-jun, Pan Liang, Lin Guo-xiong
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Abstract

X-ray examination, commonly used to examine chest diseases, is a common medical examination in patients’ physical examination. In this paper, the disease information is extracted based on the X-ray chest film report, and the disease types are classified by using DenseNet. The highest AUC can reach more than 0.935, the positive recall rate is about 0.82, and the negative recall rate is about 0.92, which has a good effect.
基于DenseNet的x线胸片疾病分类研究与实践
x线检查是患者体格检查中常见的医学检查,常用来检查胸部疾病。本文基于x线胸片报告提取疾病信息,并使用DenseNet对疾病类型进行分类。最高AUC可达0.935以上,正面召回率约为0.82,负面召回率约为0.92,效果良好。
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