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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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Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:Med Image Comput Comput Assist Interv
Asıl Yazarlar: Chauhan, Geeticka, Liao, Ruizhi, Wells, William, Andreas, Jacob, Wang, Xin, Berkowitz, Seth, Horng, Steven, Szolovits, Peter, Golland, Polina
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2020
Konular:
Online Erişim: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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