EVM-Fusion combines three feature pathways and a learnable iterative fusion block to classify medical images across nine classes, reporting 94.79% accuracy on a composite public dataset.
Inter-Observer and Intra-Observer Variability in Gross Tumor Volume Delineation of Primary Esophageal Carcinomas Based on Different Combinations of Diagnostic Multimodal Images,
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EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion
EVM-Fusion combines three feature pathways and a learnable iterative fusion block to classify medical images across nine classes, reporting 94.79% accuracy on a composite public dataset.