Case-Aware Medical Image Classification with Multimodal Knowledge Graphs and Reliability-Guided Refinement

ArXi:2605.22547v1 Announce Type: new Deep learning has brought significant progress to medical image classification, yet most existing methods still rely on isolated visual evidence and cannot effectively leverage similar cases or external knowledge. In clinical practice, diagnosis is typically ed by historical similar cases and their associated symptoms. To simulate this diagnostic process, we propose a framework that performs case-aware reasoning using multimodal knowledge graphs for explainable medical image diagnosis.