AI RESEARCH
Vision-Language Model Based Multi-Expert Fusion for CT Image Classification
arXiv CS.CV
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ArXi:2603.15154v1 Announce Type: new Robust detection of COVID-19 from chest CT remains challenging in multi-institutional settings due to substantial source shift, source imbalance, and hidden test-source identities. In this work, we propose a three-stage source-aware multi-expert framework for multi-source COVID-19 CT classification. First, we build a lung-aware 3D expert by combining original CT volumes and lung-extracted CT volumes for volumetric classification.