The paper introduces SLCA, a spatially localized channel attention mechanism, to fuse frozen SAM segmentation features into medical image classifiers, improving accuracy across three public datasets.
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Adapting a Segmentation Foundation Model for Medical Image Classification
The paper introduces SLCA, a spatially localized channel attention mechanism, to fuse frozen SAM segmentation features into medical image classifiers, improving accuracy across three public datasets.