ArticleLREC ... International Conference on Language Resources & Evaluation : [proceedings]. International Conference on Language Resources & Evaluation2020
Rad-SpatialNet: A Frame-based Resource for Fine-Grained Spatial Relations in Radiology Reports.
Article in LREC ... International Conference on Language Resources & Evaluation : [proceedings]. International Conference on Language Resources & Evaluation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- A scoping review of large language model based approaches for information extraction from radiology reports.NPJ digital medicine · 2024Article
- Article
- Fusion Modeling: Combining Clinical and Imaging Data to Advance Cardiac Care.Circulation. Cardiovascular imaging · 2023Review
- Article
- SELF-SUPERVISED LEARNING WITH RADIOLOGY REPORTS, A COMPARATIVE ANALYSIS OF STRATEGIES FOR LARGE VESSEL OCCLUSION AND BRAIN CTA IMAGES.Proceedings. IEEE International Symposium on Biomedical Imaging · 2023Article
- Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT).BMC medical informatics and decision making · 2022Article
- Application of a Domain-specific BERT for Detection of Speech Recognition Errors in Radiology Reports.Radiology. Artificial intelligence · 2022Article
- Fine-grained spatial information extraction in radiology as two-turn question answering.International journal of medical informatics · 2022Article
- A Hybrid Deep Learning Approach for Spatial Trigger Extraction from Radiology Reports.Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing · 2020Article
- RadLex Normalization in Radiology Reports.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Leveraging Spatial Information in Radiology Reports for Ischemic Stroke Phenotyping.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational ScienceArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
This paper proposes a representation framework for encoding spatial language in radiology based on frame semantics. The framework is adopted from the existing SpatialNet representation in the general domain with the aim to generate more accurate representations of spatial language used by radiologists. We describe Rad-SpatialNet in detail along with illustrating the importance of incorporating domain knowledge in understanding the varied linguistic expressions involved in different radiological spatial relations. This work also constructs a corpus of 400 radiology reports of three examination types (chest X-rays, brain MRIs, and babygrams) annotated with fine-grained contextual information according to this schema. Spatial trigger expressions and elements corresponding to a spatial frame are annotated. We apply BERT-based models (BERT
Indexed as
Identifiers
32844163PMC7444653W3031326204What OpenQuestion holds
Registered trials
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.