A transformer framework for composed vision-language retrieval in skin cancer uses hierarchical query representations and global-local alignment to improve performance over prior methods on the Derm7pt dataset.
Integrating clinical knowledge graphs and gradient-based neural systems for enhanced melanoma diagnosis via the seven-point checklist
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Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations
A transformer framework for composed vision-language retrieval in skin cancer uses hierarchical query representations and global-local alignment to improve performance over prior methods on the Derm7pt dataset.