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An Attention-Guided Global and Local Fusion Framework for Lesion-Focused Image Classification
Lesion-focused image classification presents a core analytical challenge, as discriminative signals are often sparse, spatially dispersed, and easily obscured by background noise, while conventional convolutional neural networks (CNNs) process entire images uniformly and may dilute signal relevance.
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