DAFA: A Dual-Awareness Feature Aggregator for Table Structure Recognition on Medical Examination Reports

Table structure recognition (TSR) is crucial for document analysis, particularly for medical examination report tables (MERTs), impacting efficiency and decision-making in healthcare. Most models for TSR utilize either Graph Convolution Neural Networks (GCNs) or Transformers with html sequences for...

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Detalhes bibliográficos

Principais autores:	Xuanrui Hong, Kai Zha, Ziming Feng, Zhexuan Chen, Xiaodong Du, Min Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2024-01-01
coleção:	IEEE Access
Assuntos:	Table structure recognition graph attention focal loss medical examination reports
Acesso em linha:	https://ieeexplore.ieee.org/document/10371275/
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