Adaptive Multi-Scale Feature Fusion with Hybrid Representation Learning to Classify and Retrieve Histopathological Images
A unified framework composed of a ConvNeXt V2 backbone with an integrated Convolutional Block Attention Module (CBAM) for multi-scale feature extraction, and an Adaptive Weighted Fusion Neck with learnable softmax-normalized weights, provides Gradient-weighted Class Activation Mapping explainability for clinical interp...