Interpretable 2.5D network by hierarchical attention and consistency learning for 3D MRI classification
Abstract: Highlights•An interpretable dual-branch framework for 3D MRI classification.•A hierarchical attention to learn more robust feature representations.•A consistency learning module to enhance attention semantics and promote 2D and 3D interaction.
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