English(EN) From Adults to Children: Benchmarking Foundation Models for Chest X-Ray Classification under Domain Shift

基础模型在从成人到儿科胸部X光片泛化方面遇到困难

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-16 04:00

一项新发表在arXiv上的基准研究评估了六个基础模型和两个CNN基线模型在胸部X光片分类任务上的表现，特别关注它们从成人数据泛化到儿科数据的能力。研究发现性能显著下降，宏观AUROC得分从成人数据的约92%降至儿科数据的约78%。研究还表明，增加模型适应的深度并未显著改善跨人群泛化能力，并且在成人数据上表现强劲的模型并不预示着在儿科数据上表现更好。 AI

影响强调了在医学影像领域，特别是在儿科应用方面，对更鲁棒的基础模型的需求。

排序理由发表在arXiv上的学术论文，详细介绍了基础模型的基准研究。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Sara In\'acio, Hugo Proen\c{c}a, Jo\~ao C. Neves · 2026-10-16 04:00

从成人到儿童：领域迁移下胸部X光分类基础模型的基准测试

arXiv:2610.21809v1 Announce Type: new Abstract: Foundation models have shown significant potential across diverse fields and have been applied to medical imaging, but their robustness across patient populations remains unclear. In this work, we investigate foundation models' abil…

本文如何被排名

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从成人到儿童：领域迁移下胸部X光分类基础模型的基准测试

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