The Oregon-Massachusetts Mammography Database (OMAMA-DB)

The OMAMA-DB contains thousands of breast cancer images with labels generated through a partnership with deep.health.

The dataset is now available at the Harvard Dataverse!

Supported by

OMAMA-DB: the Oregon-Massachusetts Mammography Database (JMI 2026)

Outlier Detection for Mammograms (MIDL 2023)


BibTex

@article{10.1117/1.JMI.13.6.062205,
  title={OMAMA-DB: the Oregon-Massachusetts Mammography Database},
  author={Avanith Kanamarlapudi and Ryan Zurrin and Edward Gaibor and Benjamin Bendiksen Gutierrez and Neha Goyal and Vidhya Sree Narayanapa and Dan Simovici and Nurit Haspel and Marc Pomplun and Hyunkwang Lee and Mack Bandler and Greg Sorensen and Daniel Haehn},
  journal={Journal of Medical Imaging},
  volume={13},
  number={6},
  pages={062205},
  year={2026},
  publisher={SPIE},
  doi={10.1117/1.JMI.13.6.062205},
  url={https://doi.org/10.1117/1.JMI.13.6.062205}
}
@inproceedings{zurrin2023outlier,
  title={Outlier Detection for Mammograms},
  author={Ryan Zurrin and Neha Goyal and Pablo Bendiksen and Muskaan Manocha and Dan Simovici and Nurit Haspel and Marc Pomplun and Daniel Haehn},
  booktitle={International Conference on Medical Imaging with Deep Learning},
  year={2023},
  url={https://openreview.net/forum?id=4E93Xdg98u},
  code={https://github.com/mpsych/ODM}
}


Code available on github!

   

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