MedTrim uses ontology-extracted disease, severity, and location descriptors to guide triplet learning, improving chest X-ray image-text alignment and downstream retrieval and classification.
Miter: Medical image–text joint adaptive pretraining with multi-level contrastive learning
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Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models
MedTrim uses ontology-extracted disease, severity, and location descriptors to guide triplet learning, improving chest X-ray image-text alignment and downstream retrieval and classification.