Clinical-context guidance and hyperbolic prototype learning for long-tailed radiology report generation.
Automated radiology report generation (RRG) can reduce the reporting burden, but existing methods remain limited in their ability to integrate clinical context effectively at the feature level. They also struggle with long-tailed disease distributions, which can hinder recognition of infrequent findings. To address the...