ArticleScientific data2024
ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Foundation models in biomedical imaging: turning hype into reality.Nature biomedical engineering · 2026Review
- Benchmarks and methods for 3D medical image retrieval.Scientific reports · 2026Article
- MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Observation and Localization in CT Images.Journal of healthcare informatics research · 2026Article
- AI-assisted multimodal data integration for precision oncology.Frontiers in artificial intelligence · 2026Review
- An Empirical Evaluation of Low-Rank Adapted Vision-Language Models for Radiology Image Captioning.Bioengineering (Basel, Switzerland) · 2025Article
- ECSA: Mitigating Catastrophic Forgetting and Few-Shot Generalization in Medical Visual Question Answering.Tomography (Ann Arbor, Mich.) · 2025Article
- Sentiment Analysis of Radiological Narratives and Intracranial MRI Hemorrhage Images for the Prediction of Dementia and Alzheimer's Disease.Current medical imaging · 2025Article
- Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models.Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing · 2024Article
- Advancing Accuracy in Multimodal Medical Tasks Through Bootstrapped Language-Image Pretraining (BioMedBLIP): Performance Evaluation Study.JMIR medical informatics · 2024Article
- ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset.Scientific data · 2024Article
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Authors and funding
14 authors.
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Abstract
Automated medical image analysis systems often require large amounts of training data with high quality labels, which are difficult and time consuming to generate. This paper introduces Radiology Object in COntext version 2 (ROCOv2), a multimodal dataset consisting of radiological images and associated medical concepts and captions extracted from the PMC Open Access subset. It is an updated version of the ROCO dataset published in 2018, and adds 35,705 new images added to PMC since 2018. It further provides manually curated concepts for imaging modalities with additional anatomical and directional concepts for X-rays. The dataset consists of 79,789 images and has been used, with minor modifications, in the concept detection and caption prediction tasks of ImageCLEFmedical Caption 2023. The dataset is suitable for training image annotation models based on image-caption pairs, or for multi-label image classification using Unified Medical Language System (UMLS) concepts provided with each image. In addition, it can serve for pre-training of medical domain models, and evaluation of deep learning models for multi-task learning.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.