A DICOM dataset for evaluation of medical image de-identification (Pseudo-PHI-DICOM-Data). Rutherford, M., Mun, S.K., Levine, B., Bennett, W.C., Smith, K., Farmer, P., Jarosz, J., Wagner, U., Farahani, K., Prior, F. Please see the dataset information as follows: The DICOM data used for unit and integration testing for DicomImageRedactorEngine are stored in this repository with permission from the original dataset owners. To avoid errors where the code may not recognize a path as existing due to the length of the characters in the file path, please enable long paths on your system. Unfortunatley, this is not rare when working with DICOM images that are often nested in directories with descriptive names. Pixlr van Inmagine maakt deel uit van een creatief ecosysteem met een missie om het. If you are using a Windows machine, you may run into issues if file paths are too long. If you are interested in evaluating the performance of the DICOM de-identification against ground truth labels, please see the evaluating DICOM de-identification page. redact_from_directory ( "path/to/your/dicom", output_dir, fill = "background", ocr_kwargs = ocr_kwargs ) Evaluating de-identification performance The size of United States Green Card (Permanent Resident) photo is 51x51 mm (2x2 Inch). redact_from_file ( input_path, output_dir, padding_width = 25, fill = "contrast" ) # Option 3: Redact from directory ocr_kwargs = engine. Make free Biometric passport photos online Match United States Green Card (Permanent Resident) photo size, specifications, rules, requirements. redact ( dicom_image, fill = "contrast" ) # Option 2: Redact from DICOM file engine. dcmread ( input_path ) redacted_dicom_image = engine.
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