A Unified Dual-Stream Framework for Heterogeneous and Imbalanced Medical Image Classification
A lightweight dual-stream framework based on a pretrained ConvNeXt-Tiny backbone, integrating complementary global semantic and local structural feature representations with imbalance-aware optimisation is proposed, demonstrating an effective and practical solution for medical image classification across heterogeneous...