OPERA: Offline Policy-guided Expert Routing and Adaptation for Universal Biomedical Image Analysis
arXiv:2607.25108v1 Announce Type: new Abstract: Biomedical image analysis spans diverse modalities and tasks, yet real-world deployment is hindered by severe distribution shifts across scanners, protocols, and patient populations. High-performing models consequently require repeated domain-specific fine-tuning, which is a costly cycle that becomes impractical when labels are scarce or privacy constraints limit data sharing. We propose OPERA (Offline Policy-guided Expert Routing and Adaptation), ...
arXiv cs.CV
·Zihan Li, Feiyang Liu, Dandan Shan, Ruibo Wang, Qingqi Hong
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