Loading...
Loading...
Available on 1 platform
Sign in to view source links and access this dataset
5,883 high-quality white-light endoscopic images from 229 patients were retrospectively collected at Renji Hospital, Shanghai, between March and November 2024. The dataset, created by Zeyu Li, provides systematic multi-label annotations across four clinical dimensions for gastritis classification. Annotations were validated by experienced endoscopists, achieving excellent inter-rater agreement.
The dataset is very small (17.9 KB), suggesting the XLSX file likely contains annotation metadata rather than the image files themselves.