Full Dicom de-identification

Description

Pretrained pipeline for doing Dicom De-identification in which all texts in the images are removed together with most of the tags in the metadata.

Predicted Entities

Live Demo Open in Colab

How to use

dicom_df = spark.read.format("binaryFile").load(dicom_path)

pipeline = PretrainedPipeline("dicom_deid_full_anonymization", "en", "clinical/ocr")

result = pipeline.transform(dicom_df).cache()

val dicom_df = spark.read.format("binaryFile").load(dicom_path)

val pipeline = new PretrainedPipeline("dicom_deid_full_anonymization", "en", "clinical/ocr")

val result = pipeline.transform(dicom_df).cache()

Example

Input:

Output:

Model Information