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

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arxiv 2111.00595 v1 pith:G4CM2LMG submitted 2021-10-31 eess.IV cs.AIcs.CV

Joseph Paul Cohen , Joseph D. Viviano , Paul Bertin , Paul Morrison , Parsa Torabian , Matteo Guarrera , Matthew P Lungren , Akshay Chaudhari
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Rupert Brooks Mohammad Hashir Hadrien Bertrand
This is my paper · ORCID
classification eess.IVcs.AIcs.CV
keywords chestdatasetslibrarymodelsx-rayavailablecommondifferent
verification ladder T0 review T1 audit T2 compute T3 formal
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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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