标题： Atlas 2 -- 用于临床部署的基础模型 显示英文标题

标题： Atlas 2 -- Foundation models for clinical deployment

摘要： 病理学基础模型显著推进了计算病理学的可能性——然而在性能、鲁棒性和计算需求方面仍存在权衡，这限制了它们的临床部署。 在本报告中，我们介绍了Atlas 2、Atlas 2-B和Atlas 2-S，这三个病理视觉基础模型通过在八十项公共基准的全面评估中表现出最先进的预测性能、鲁棒性和资源效率，弥补了这些不足。 我们的模型是在迄今为止最大的病理学基础模型数据集上训练的，该数据集包含550万张组织病理学全切片图像，来自三家医疗机构Charité - Universtätsmedizin Berlin、LMU Munich和Mayo Clinic。 显示英文摘要

摘要： 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 Charité - Universtätsmedizin Berlin, LMU Munich, and Mayo Clinic.