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Stanford AIMI

StanfordAIMI

Computer Vision & Natural Language Processing applied to imaging studies.

Models in Library1
Datasets in Library0
Models on Hugging Face54
Followers213

Models

Model · Token classification

stanford-deidentifier-base

Stanford AIMI

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. 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)

Open weights mit 512 tokens transformers