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New ViBMR dataset aids Vietnamese radiology report generation

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced ViBMR, a new large-scale dataset designed for generating radiology reports from multi-sequence brain MRIs, specifically for the Vietnamese language. This dataset includes 3,649 patients and 11,875 MRI series across T1, T2, FLAIR, and contrast-enhanced T1 sequences. The project aims to address the scarcity of annotated data for low-resource clinical languages in medical imaging. ViBMR also establishes a comprehensive evaluation framework for brain MRI report generation, utilizing various medical vision-language models and feature aggregation strategies. AI

IMPACT This dataset could improve AI-driven diagnostic tools for low-resource languages, potentially accelerating medical report generation in underserved regions.

RANK_REASON The cluster describes a new academic dataset and evaluation framework for medical report generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New ViBMR dataset aids Vietnamese radiology report generation

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The cluster describes a new academic dataset and evaluation framework for medical report generation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Dai Lam Le, Minh Khoi Nguyen, Son Dinh Nguyen, Amir Reza Jafari, Viet Ha, Nguyen Son, Reza Farahbakhsh, Noel Crespi, Phi Le Nguyen ·

    ViBMR: A Large-Scale Multi-Sequence Brain MRI Dataset and Comprehensive Evaluation for Vietnamese Radiology Report Generation

    arXiv:2610.29905v1 Announce Type: new Abstract: Automated radiology report generation for multi-sequence brain MRI holds strong promise for alleviating radiologists' workload, yet it remains a demanding problem: brain MRI studies are inherently volumetric, each pulse sequence car…

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