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Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays

This is the repo associated with the paper: Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays, that was published at MIDL 2020.

This repo contains the code for:

  • A DenseNet implementation, modified from the torchvision implementation.
  • A HeMis implementation.
  • A data loader for the PadChest dataset.
  • The training and testing routine for the models.

Do Lateral Views Help Automated Chest X-ray Predictions?

Before the paper, there was an extended abstract: Do Lateral Views Help Automated Chest X-ray Predictions?, published at MIDL 2019.

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