BUSTR: Descriptor-Aware Vision-Language Learning for Breast Ultrasound Report Generation

Researchers have developed BUSTR, a model designed to improve the generation of breast ultrasound reports by incorporating specific clinical lesion descriptors like BI-RADS categories and echogenicity. By focusing on these standardized medical features, the framework aims to produce more accurate and structured diagnostic documentation from ultrasound imaging.