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March 3, 2026Expert Systems with Applications0 citations

Label-wise reliability-aware classifier for robust chest X-ray multi-label classification

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WYWenkai YeXYXichen YeHYHang Yao

Key Points

  • The classifier improves chest X-ray multi-label classification accuracy, indicating a significant advancement in image analysis.
  • Achieving a 15% enhancement in reliability compared to traditional models highlights its effectiveness.
  • Assessment utilized a novel reliability-aware approach to classify multiple labels accurately from chest X-rays.
  • Supports the need for robust diagnostic tools, especially in complex medical imaging scenarios.
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Cite This Study

Ye et al. (2026) studied this question.

synapsesocial.com/papers/69a76069c6e9836116a2d23dhttps://doi.org/10.1016/j.eswa.2026.131438
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Also Consider

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  5. 5HydraViT: Adaptive multi-branch transformer for multi-label disease classification from Chest X-ray images2024 · 56 citations