Pseudonym Dicom de-identification

Description

Pretrained pipeline for doing Dicom De-identification, attempting to replaces values in metadata with pseudonyms. Images will be de-identified for PHI.

Predicted Entities

Live Demo Open in Colab

How to use

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

pipeline = PretrainedPipeline("dicom_deid_generic_augmented_pseudonym", "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_generic_augmented_pseudonym", "en", "clinical/ocr")

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

Example

Input:

Screenshot Screenshot

Output:

Screenshot Screenshot

Model Information

Model Name: dicom_deid_generic_augmented_pseudonym
Type: pipeline
Compatibility: Visual NLP 5.5.0+
License: Licensed
Edition: Official
Language: en