Introduces the first large-scale 3D PET/CT dataset with fine-grained RoI annotations for Vietnamese and a graph-enhanced HiRRA framework that achieves SOTA report generation by modeling RoI dependencies.
On the Automatic Generation of Medical Imaging Reports
2 Pith papers cite this work, alongside 387 external citations. Polarity classification is still indexing.
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Pith papers citing it
387
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2026 2representative citing papers
RL-ACRGNet applies reinforcement learning to an encoder-decoder architecture for radiology report generation and reports modest metric gains on IU-Xray and MIMIC-CXR.
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Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework
Introduces the first large-scale 3D PET/CT dataset with fine-grained RoI annotations for Vietnamese and a graph-enhanced HiRRA framework that achieves SOTA report generation by modeling RoI dependencies.
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RL-ACRGNet: Reinforcement Learning-Based Chest Radiology Report Generation Network
RL-ACRGNet applies reinforcement learning to an encoder-decoder architecture for radiology report generation and reports modest metric gains on IU-Xray and MIMIC-CXR.