CheXMix: A Chest X-ray Dataset Containing a Mixture of Patient X-rays and Coronal CT Projections with COVID-19 Lung Lesion Annotations

 Vignav Ramesh,  Blaine Rister,  Daniel L. Rubin

We present CheXMix, the first publicly available, open-source chest X-ray dataset containing over 100 images (assembled from a variety of public sources) with COVID-19 lung lesion annotations produced by our Mask R-CNN model released on arXiv.

Cite

@misc{ramesh2021covid19,
      title={COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs}, 
      author={Vignav Ramesh and Blaine Rister and Daniel L. Rubin},
      year={2021},
      eprint={2105.08147},
      archivePrefix={arXiv},
      primaryClass={eess.IV}
}