TorchXRayVision: A library of chest X-ray datasets and modelsDownload PDF

09 Dec 2021, 20:02 (edited 22 Jun 2022)MIDL 2022Readers: Everyone
  • Keywords: Chest X-ray, CXR, pre-trained models, datasets, representation learning, generalization, feature extraction, PyTorch
  • TL;DR: A library for chest X-ray datasets and models. Including pre-trained models.
  • Abstract: TorchXRayVision is an open source software library for working with chest X-ray datasets and deep learning models. It provides a common interface and common pre-processing chain for a wide set of publicly available chest X-ray datasets. In addition, a number of classification and representation learning models with different architectures, trained on different data combinations, are available through the library to serve as baselines or feature extractors.
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  • Paper Type: validation/application paper
  • Primary Subject Area: Application: Radiology
  • Secondary Subject Area: Unsupervised Learning and Representation Learning
  • Confidentiality And Author Instructions: I read the call for papers and author instructions. I acknowledge that exceeding the page limit and/or altering the latex template can result in desk rejection.
  • Code And Data: https://github.com/mlmed/torchxrayvision
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