A brief overview of image anonymization methods


Today, digital medical imaging in the healthcare field has become a fundamental tool for medical diagnosis.

Privacy protection is a major requirement for the complete success of diagnosis systems, becoming even more critical in collaboration projects such as iToBoS, where data is shared among institutions and practitioners. While textual data can be easily de-identified, patient data in medical images implies a more elaborate approach.

Keep reading at A brief overview of image anonymization methods.