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Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment
We propose and demonstrate a novel machine learning algorithm that assesses pulmonary edema severity from chest radiographs. While large publicly available datasets of chest radiographs and free-text radiology reports exist, only limited numerical edema severity labels can be extracted from radiolog...
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| Pubblicato in: | Med Image Comput Comput Assist Interv |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7901713/ https://ncbi.nlm.nih.gov/pubmed/33634272 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-59713-9_51 |
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