Corpus ID: 218718729

Lung Segmentation from Chest X-rays using Variational Data Imputation

@article{Selvan2020LungSF,
  title={Lung Segmentation from Chest X-rays using Variational Data Imputation},
  author={Raghavendra Selvan and E. Dam and Sofus Rischel and Kaining Sheng and Mads Nielsen and A. Pai},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.10052}
}

Raghavendra Selvan, E. Dam, +3 authors A. Pai

Published 2020

Engineering, Computer Science, Mathematics

ArXiv

Pulmonary opacification is the inflammation in the lungs caused by many respiratory ailments, including the novel corona virus disease 2019 (COVID-19). Chest X-rays (CXRs) with such opacifications render regions of lungs imperceptible, making it difficult to perform automated image analysis on them. In this work, we focus on segmenting lungs from such abnormal CXRs as part of a pipeline aimed at automated risk scoring of COVID-19 from CXRs. We treat the high opacity regions as missing data and… CONTINUE READING

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