Label-aware Attention Network with Multi-scale Boosting for Medical Image Segmentation

Published: 01 Jan 2024, Last Modified: 27 Sept 2024Expert Syst. Appl. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A Label-Aware Attention module (LAA) learns label-aware feature affinity using a contrastive loss.•LAA enhances labelwise feature discriminativeness via affinity-guided feature reconstruction.•A Multi-scale Feature Boosting module (MFB) integrates scale context for feature encoding.•An encoder–decoder learning framework combines LAA and MFB for robust medical segmentation.
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