Attention-augmented CNNs usually beat plain CNNs on two medical image datasets, with EfficientNetB5 plus hybrid attention the best, but test-set-based model selection undermines the claimed consistency.
Chung, Artificial intelligence in healthcare and medicine technology development review, Engineering Applications of Artificial Intelligence 143 (2025) 109801
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Systematic Integration of Attention Modules into CNNs for Accurate and Generalizable Medical Image Diagnosis
Attention-augmented CNNs usually beat plain CNNs on two medical image datasets, with EfficientNetB5 plus hybrid attention the best, but test-set-based model selection undermines the claimed consistency.