Deep Learning to Quantify Pulmonary Edema in Chest Radiographs

1 code implementation • 13 Aug 2020 • Steven Horng, Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J. Berkowitz

Results: The area under the receiver operating characteristic curve (AUC) for differentiating alveolar edema from no edema was 0. 99 for the semi-supervised model and 0. 87 for the pre-trained models.

Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images

no code implementations • 27 Feb 2019 • Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth Berkowitz, Sandeep Dalal, William Wells, Steven Horng, Polina Golland

We propose and demonstrate machine learning algorithms to assess the severity of pulmonary edema in chest x-ray images of congestive heart failure patients.

BIG-bench Machine Learning