Extended Data Fig. 4: ROI classification across different image resolutions.
To assess how image resolution affects performance, we compare UNI and other baselines on various resized and center-cropped ROIs for a. BRCA subtyping and b. CRC polyp classification tasks. The original image sizes are 2048 × 1536 and 1812 × 1812 pixels, respectively. All models are evaluated on linear, SimpleShot (1-NN), and KNN (20-NN) probe settings. UNI consistently outperforms all baselines across all resolutions. The performance metrics are further provided in Supplementary Tables 45, 46, 51, 52.