MNet-SAt: A Multiscale Network with Spatial-enhanced Attention for segmentation of polyps in colonoscopy
Abstract: Highlights•A novel edge-guided encoder–decoder framework to capture fine-grained edge features.•Multiscale feature aggregator extracts diverse contextual features of polyps.•Spatial enhanced attention captures spatial-aware global contextual features.•Fusion of channel-wise multiscale features with inter-channel information.•Quantitative and qualitative analyses demonstrate the superiority of MNet-SAt.
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