Toponet: a topology-guided dual-branch framework for medical image classification
Volumetric medical image classification remains challenging due to limited robustness and interpretability, largely because modern models based on CNNs and Transformers primarily rely on appearance-driven cues and struggle to explicitly capture global anatomical topology, such as connectivity, loops, and cavities. To a...