ARM-Net: Attention-guided residual multiscale CNN for multiclass brain tumor classification using MR images
Abstract: Highlights•An attention-based residual multiscale CNN ‘ARM-Net’ is proposed.•A lightweight global attention module is proposed to learn class-specific features.•A comparative analysis with contemporary attention mechanisms is performed.•Results indicate the effectiveness of ARM-Net over existing methods.•The proposed ARM-Net model is lightweight and end-to-end learnable.
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