Loading...
Loading...
Available on 1 platform
Sign in to view source links and access this dataset
Shanghai's Renji Hospital contributed 5,883 high-quality white-light endoscopic images from 229 patients, collected between March and November 2024. The dataset, created by Zeyu Li, provides multi-dimensional clinical annotations validated by expert endoscopists. It is intended to support AI development and clinical training for gastritis diagnosis and cancer risk assessment.
Files are in RAR and XLSX formats; a tool to extract RAR archives is required. The dataset is 10.9 GB, which is large.