Radiology Report Expert Evaluation (ReXVal) Dataset
收藏DataCite Commons2023-06-20 更新2025-04-16 收录
下载链接：
https://physionet.org/content/rexval-dataset/1.0.0/
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资源简介：
The Radiology Report Expert Evaluation (ReXVal) Dataset is a publicly
available dataset of radiologist evaluations of errors in automatically
generated radiology reports. The dataset contains annotations from 6 board
certified radiologists on clinically significant and clinically insignificant
errors under 6 error categories for candidate radiology reports with respect
to ground-truth reports from the MIMIC-CXR dataset. There are 4 candidate
reports generated for 50 studies, translating to 200 pairs of candidate and
ground-truth reports on which radiologists provided annotations. The dataset
has been used to evaluate the alignment between scoring of automated metrics
and that of radiologists, investigate the failure modes of automated metrics,
and build a composite automated metric, in a study on how to meaningfully
measure progress in radiology report generation. It is also created to support
additional medical AI research in radiology and other expert tasks.
提供机构：
PhysioNet
创建时间：
2023-06-17
