Stanford de identifier was trained on a variety of radiology and biomedical documents with the goal of automatising the de identification process while reaching satisfactory accuracy for use in production. Manuscript in proceedings. These model weights are the recommended ones among all available deidentifier weights. Associated github repo: https://github.com/MIDRC/Stanford Penn Deidentifier Acknowledgement This work was supported in part by the Medical Imaging and Data Resource Center (MIDRC), which is funded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) of the National Institutes of Health under contract 75N92020D00021 and through The Advanced Research Projects Agency for Health (ARPA H) Citation
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy