Papers › TorchXRayVision: A library of chest X-ray datasets and models

TorchXRayVision: A library of chest X-ray datasets and models

31 Oct 2021arXiv:2111.00595archive 2025-07-28

Joseph Paul Cohen, Joseph D. Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, Hadrien Bertrand

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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Image ClassificationMedical Image RetrievalMedical Image SegmentationMedical X-Ray Image SegmentationMulti-class ClassificationRepresentation LearningSmall Data Image Classification

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