ArticleTechnology in cancer research & treatment
Bridging Global Attention and Local Hierarchies: A Robust Hybrid Ensemble Framework With Multi-Perspective Explainability for Automated HER2-IHC Scoring.
Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
IntroductionDetermining the HER2 status accurately is a critical determinant in breast cancer treatment planning. Manual scoring remains highly susceptible to inter- and intra-observer variability, particularly in diagnostically ambiguous cases (HER2 1+/2+). Furthermore, contemporary deep learning models frequently lack the robustness and interpretability required for safe clinical integration.MethodsWe propose a hybrid ensemble framework that synergizes EVA-02-Large, Vision Transformer-Base, and ConvNeXt-V2-Nano architectures via an adaptive late-fusion mechanism. The model was trained on the expert-annotated HER2-IHC-40x dataset (
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