Article

TopoNet: A Topology-Guided Dual-Branch Framework for Medical Image Classification

2026-07-15

Abstract excerpt

<title>Abstract</title> <p>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 address this limitation, we propose TopoNet, a topology-guided dual-br...

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Literature Corpus work: da2073a3-7b1d-5a0f-8b24-849ea8c32fd5
DOI: 10.21203/rs.3.rs-9928087/v1

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