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Augmenting Interpretation of Chest Radiographs with Deep Learning Probability Maps
PURPOSE: Pneumonia is a common clinical diagnosis for which chest radiographs are often an important part of the diagnostic workup. Deep learning has the potential to expedite and improve the clinical interpretation of chest radiographs. While earlier approaches have emphasized the feasibility of “b...
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| Publicat a: | J Thorac Imaging |
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| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7483166/ https://ncbi.nlm.nih.gov/pubmed/32205817 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/RTI.0000000000000505 |
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