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New Atlas 2 pathology models achieve SOTA performance on 5.5M images

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced Atlas 2, Atlas 2-B, and Atlas 2-S, a suite of pathology foundation models designed to overcome limitations in performance, robustness, and computational demands for clinical deployment. These models were trained on an unprecedented dataset of 5.5 million histopathology whole slide images sourced from Charité, LMU Munich, and Mayo Clinic. Comprehensive evaluations across eighty public benchmarks demonstrate that Atlas 2 models achieve state-of-the-art prediction performance and resource efficiency. AI

IMPACT These models could significantly improve diagnostic accuracy and efficiency in clinical pathology settings.

RANK_REASON Research paper detailing new foundation models for clinical pathology. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Atlas 2 pathology models achieve SOTA performance on 5.5M images

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Research paper detailing new foundation models for clinical pathology. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Maximilian Alber, Timo Milbich, Alexandra Carpen-Amarie, Stephan Tietz, Jonas Dippel, Lukas Muttenthaler, Beatriz Perez Cancer, Alessandro Benetti, Panos Korfiatis, Elias Eulig, J\'er\^ome L\"uscher, Jiasen Wu, Sayed Abid Hashimi, Gabriel Dernbach, Simon… ·

    Atlas 2 -- Foundation models for clinical deployment

    arXiv:2601.05148v2 Announce Type: replace-cross Abstract: 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 d…

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