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cs.CV2026
SCALE: Synthetic Calibration via Agreement Labeling in Embedding Space
Wenjun Liu, Saeed Hassanpour
Foundation models for computational pathology are usually evaluated using AUC and accuracy, while calibration is often left untested. This matters because a model can be accurate o…
cs.CV2026
Cross-Modal Contrastive Learning from Histopathology and CT for Automated Renal Cell Carcinoma Grading
Amit Das, Tanmay Shukla, Naofumi Tomita +9
Background: Clear cell renal cell carcinoma (ccRCC) exhibits substantial clinical heterogeneity, and accurate grade assessment is essential for risk stratification and treatment pl…