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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Bibliographic Details
Main Authors: Chauhan, Geeticka (Author), Liao, Ruizhi (Author), Wells, William (Author), Andreas, Jacob (Author), Wang, X (Author), Berkowitz, S (Author), Horng, S (Author), Szolovits, Peter (Author), Golland, Polina (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Springer International Publishing, 2021-02-10T18:51:21Z.
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