LNDb v4:医疗报告中的肺结节注释
Carlos A Ferreira1,2, Célia Sousa3, Inês Dias Marques3
1Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal. carlos.a.ferreira@inesctec.pt.
Scientific data
|May 17, 2024
概括
这项研究将肺癌医疗报告转换为结节注释,创建数据集以改善计算机辅助诊断和肺结节检测研究. 通过将报告与手册注释联系起来,这些发现有助于未来的研究.
科学领域:
- 医疗成像医学成像
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
背景情况:
- 正确的肺癌诊断非常重要,因为其患病率很高.
- 放射科医生通过广泛的放射学检查分析来识别肺结节.
- 计算机辅助诊断 (CAD) 工具可以提高结节识别效率.
研究的目的:
- 将非结构化的医疗报告转换为结构化的结节注释.
- 将报告中的文本信息与手动注释的数据相匹配.
- 为了促进肺癌诊断和CAD的进一步研究.
主要方法:
- 使用了来自肺结节数据库 (LNDb) 的医疗报告和手动注释的数据.
- 开发了一种方法,从文本中提取节点信息,并将其与图像注释联系起来.
- 创建了一个表格式数据集,包含292份医疗报告,其中包含结节的特征和匹配.
主要成果:
- 成功将292份医疗报告转换为结节注释.
- 生成的文件详细说明了结节的特征及其与手册注释的对应性.
- 建立了现有报告和研究手册注释之间的桥梁.
结论:
- 创建的数据集支持肺结节检测和计算机辅助诊断的研究.
- 允许对文本衍生和手动策划注释的实用性进行比较研究.
- 旨在提高肺癌诊断准确度和研究方法.
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