Hierarchical Conditional Energy Modeling for Medical Vision–Language Pretraining
HCE-CLIP is proposed, a vision–language pretraining framework that formulates medical image–text alignment as a hierarchical label-conditional energy modeling problem and introduces a hierarchical contradiction-based metric that quantifies logical inconsistencies between fine-grained disease predictions and higher-leve...