A two-stage sparse attention mechanism, selecting top regions then top pixels per query, improves accuracy on multiple medical imaging benchmarks with lower compute than full attention.
Lesion-aware transformers for diabetic retinopathy grading,
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MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention
A two-stage sparse attention mechanism, selecting top regions then top pixels per query, improves accuracy on multiple medical imaging benchmarks with lower compute than full attention.