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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    References

    SHOWING 1-10 OF 37 REFERENCES
    An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks
    • 41
    A review on lung boundary detection in chest X-rays
    • S. Candemir, S. Antani
    • Computer Science, Medicine
    • International Journal of Computer Assisted Radiology and Surgery
    • 2019
    • 29
    • PDF
    Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
    • 172
    • PDF
    Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration
    • 245
    • PDF
    COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
    • 80
    • PDF
    CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
    • 367
    • PDF
    3D MRI brain tumor segmentation using autoencoder regularization
    • 251
    • PDF
    U-Net: Convolutional Networks for Biomedical Image Segmentation
    • 19,221
    • Highly Influential
    • PDF