Systematic Integration of Attention Modules into CNNs for Accurate and Generalizable Medical Image Classification

Deep learning has demonstrated significant promise in medical image analysis; however, standard CNNs frequently encounter challenges in detecting subtle and intricate features vital for accurate diagnosis. To address this limitation, we systematically integrated attention mechanisms into five common...

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Hlavní autoři:	Zahid Ullah, Minki Hong, Tahir Mahmood, Jihie Kim
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-11-01
Edice:	Mathematics
Témata:	squeeze and excitation attention mechanism convolutional neural networks medical image classification
On-line přístup:	https://www.mdpi.com/2227-7390/13/22/3728
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