A Hierarchical Lesion-Conditioned Cross-Attention Network for Multimodal Breast Cancer Classification
Existing multimodal approaches for breast cancer classification rely on fixed-stage fusion, where clinical features are incorporated as static auxiliary inputs, limiting dynamic interactions between visual and clinical information. Furthermore, reported performance gains in this literature are rarely validated under le...