September 23, 2025Open Access

Automatic Fine-grained Segmentation-assisted Report Generation

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A performance gain of 2.77% in report generation was achieved by integrating segmentation, enhancing accuracy.
The ASaRG method outperformed LLaVA and two other models, COMG and ORID, in generating clinical reports by F1 scores.
This research employed an innovative multi-modal approach, incorporating segmentation maps to improve report grounding.
The findings suggest that combining ASaRG with existing LLaVA advancements could lead to further improvements in clinical report generation.

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This approach demonstrates a 2.77% performance improvement in report generation, indicating better integration of segmentation.

Jonske et al. (2025) studied this question.

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