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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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| Publicado no: | J Biomed Inform |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | 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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