Belangrijkste concepten
Proposing ECAMP for entity-centered and context-aware medical data interpretation.
Samenvatting
The article introduces ECAMP, a framework for entity-centered and context-aware medical vision-language pre-training. It addresses the limitations of existing methods by distilling entity-specific context from medical reports, enhancing the interplay between text and image modalities, and improving performance on downstream tasks. The framework consists of four components: entity-aware context distillation, entity-centered context-enhanced MLM, context-guided super-resolution, and multi-scale context fusion. Extensive experiments demonstrate significant performance improvements over current state-of-the-art methods in various medical imaging tasks.
Statistieken
Despite significant advancements in medical vision-language pre-training (13)
Utilizing recent powerful large language model (5)
Distilling entity-centered context from medical reports (9)
Improving semantic integration of image representations (9)
Demonstrating effectiveness through extensive experiments (9)