How to Build an AI-Powered Medical Image De-Identification Pipeline for Clinical Research
freeCodeCamp.org1626 字 (约 7 分钟)
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This article systematically introduces how to build an AI-powered medical image de-identification pipeline that removes PHI from both DICOM metadata and burned-in pixel text via OCR + NER + DICOM processing, ensuring HIPAA compliance.
入选理由：使用EasyOCR检测DICOM图像像素中烧录的文本（burned-in text），再用Stanford NER模型（stanford-deidentifier-base）分类PHI与非PHI。
FeaturedArticle#Medical Imaging#HIPAA Compliance#De-identification#DICOM#MONAI英文