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. Polarity classification is still indexing.
2
Pith papers citing it
years
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.
citing papers explorer
-
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.
-
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.