Prototype-Based Knowledge Guidance for Fine-Grained Structured Radiology Reporting
ProtoSR improves structured radiology reporting by using information from free-text reports to provide data-driven second opinions. It builds a knowledge base from text, creates image prototypes from these reports, and uses a late-fusion module to inject this visual evidence into the prediction pipeline. This method significantly boosts accuracy, especially for fine-grained attribute questions.