Atlas 2 -- Foundation models for clinical deployment
About
Pathology foundation models substantially advanced the possibilities in computational pathology -- yet tradeoffs in terms of performance, robustness, and computational requirements remained, which limited their clinical deployment. In this report, we present Atlas 2, Atlas 2-B, and Atlas 2-S, three pathology vision foundation models which bridge these shortcomings by showing state-of-the-art performance in prediction performance, robustness, and resource efficiency in a comprehensive evaluation across eighty public benchmarks. Our models were trained on the largest pathology foundation model dataset to date comprising 5.5 million histopathology whole slide images, collected from three medical institutions Charit\'e - Universt\"atsmedizin Berlin, LMU Munich, and Mayo Clinic.
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| General Histopathology Performance | Patho-Bench Overall 1.0 (test) | Prediction Average60.3 | 5 | |
| Molecular prediction | Patho-Bench Molecular 1.0 (test) | TP53 Mutation AUC (BRCA)83.6 | 5 | |
| Morphology Prediction | Patho-Bench Morphology 1.0 (test) | TME Immune Class (BRCA) BA59.3 | 5 | |
| Survival Prediction | Patho-Bench Survival 1.0 (test) | Ovary C-Index51.7 | 5 | |
| Treatment Response Prediction | Patho-Bench Treatment Response 1.0 (test) | ER Status (Macro OvR AUC)76.4 | 5 |