TorchXRayVision: A Library of Chest X-Ray Datasets and 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.
Cite
Text
Cohen et al. "TorchXRayVision: A Library of Chest X-Ray Datasets and Models." Medical Imaging with Deep Learning, 2023.Markdown
[Cohen et al. "TorchXRayVision: A Library of Chest X-Ray Datasets and Models." Medical Imaging with Deep Learning, 2023.](https://mlanthology.org/midl/2023/cohen2023midl-torchxrayvision/)BibTeX
@inproceedings{cohen2023midl-torchxrayvision,
title = {{TorchXRayVision: A Library of Chest X-Ray Datasets and Models}},
author = {Cohen, Joseph Paul and Viviano, Joseph D. and Bertin, Paul and Morrison, Paul and Torabian, Parsa and Guarrera, Matteo and Lungren, Matthew P and Chaudhari, Akshay and Brooks, Rupert and Hashir, Mohammad and Bertrand, Hadrien},
booktitle = {Medical Imaging with Deep Learning},
year = {2023},
pages = {231-249},
volume = {172},
url = {https://mlanthology.org/midl/2023/cohen2023midl-torchxrayvision/}
}