遇见数据集

A dataset of chest X-ray reports annotated with Spatial Role Labeling annotations

收藏
Mendeley Data2026-04-18 收录
官方服务:

资源简介:

This dataset consists of 2000 chest X-ray reports (available as part of the Open-i image search platform) annotated with spatial information. The annotation is based on Spatial Role Labeling. The information includes annotating a radiographic finding, its associated anatomical location, any potential diagnosis described in connection to the spatial relation (between finding and location), and any hedging phrase used to describe the certainty level of a finding/diagnosis. All these annotations are identified with reference to a spatial expression (Spatial Indicator) that triggers a spatial relation in a sentence. The spatial roles used to encode the spatial information are Trajector, Landmark, Diagnosis, and Hedge. In total, there are 1962 Spatial Indicators (mainly prepositions). There are 2293 Trajectors, 2167 Landmarks, 455 Diagnosis, and 388 Hedges in the dataset. This annotated dataset can be used for developing automatic approaches targeted toward spatial information extraction from radiology reports which then can be applied to numerous clinical applications.

本数据集包含2000份胸部X线报告(可从Open-i影像搜索平台获取),并附带空间信息标注。本次标注基于空间角色标注(Spatial Role Labeling)方法,标注内容涵盖放射学征象、其关联的解剖部位、基于征象与部位间空间关系描述的潜在诊断,以及用于表述征象/诊断确定性等级的模糊限定短语。所有此类标注均以句子中触发空间关系的空间表达(空间指示语,Spatial Indicator)为参照进行识别。用于编码空间信息的空间角色包括轨迹体(Trajector)、参照体(Landmark)、诊断项(Diagnosis)与模糊限定项(Hedge)。本数据集中共包含1962个空间指示语(主要为介词),另有2293个轨迹体、2167个参照体、455个诊断项与388个模糊限定项。该带标注数据集可用于研发面向放射学报告的空间信息自动提取方法,由此类方法可应用于诸多临床场景。

创建时间:
2020-06-09
二维码
社区交流群
二维码
科研交流群
商业服务