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Integrating multi-scale cross-attention and graph-guided label reasoning for multi-label chest X-ray classification

2026-04-16

Abstract excerpt

<title>Abstract</title> <p>Multi-label chest X-ray (CXR) classification is challenging because abnormalities span a diverse set of spatial scales and disease labels are strongly interdependent. We develop a visual–semantic framework that jointly models multi-scale visual fusion and label-prior-guided decoding.The visual encoder has two parallel branches: a Vision Transformer (ViT) branch captures global anatomica...

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Literature Corpus work
e4fd89f2-1204-5b53-8e2c-d64ca4b5c77b
DOI
10.21203/rs.3.rs-9268273/v1
Open publication

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Integrating multi-scale cross-attention and graph-guided label reasoning for multi-label chest X-ray classificationDOI 10.21203/rs.3.rs-9268273/v1
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