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Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest X-ray reports using deep learning
Radiology reports contain a radiologist’s interpretations of images, and these images frequently describe spatial relations. Important radiographic findings are mostly described in reference to an anatomical location through spatial prepositions. Such spatial relationships are also linked to various...
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| Опубликовано в: : | J Biomed Inform |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7807990/ https://ncbi.nlm.nih.gov/pubmed/32562898 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2020.103473 |
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