Corpus ID: 67856165

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

@article{Liao2019SemisupervisedLF,
  title={Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images},
  author={Ruizhi Liao and Jonathan Rubin and Grace Lam and Seth J. Berkowitz and Sandeep Dalal and W. Wells and S. Horng and P. Golland},
  journal={ArXiv},
  year={2019},
  volume={abs/1902.10785}
}
We propose and demonstrate machine learning algorithms to assess the severity of pulmonary edema in chest x-ray images of congestive heart failure patients. Accurate assessment of pulmonary edema in heart failure is critical when making treatment and disposition decisions. Our work is grounded in a large-scale clinical dataset of over 300,000 x-ray images with associated radiology reports. While edema severity labels can be extracted unambiguously from a small fraction of the radiology reports… Expand
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