Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

MLOPS: Protect and Redact Private Information in DICOM Images

The Machine Learning Engineer via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
This video tutorial demonstrates how to detect and protect sensitive information in DICOM medical images that are subject to privacy regulations like GDPR, PII, or HIPAA in the healthcare industry. Learn to implement anonymization techniques using Microsoft Presidio specifically for DICOM images, while also exploring additional C# tools for working with both DICOM and FHIR formats. The 44-minute guide provides practical implementation steps for medical data privacy protection in machine learning operations. Note that the accompanying notebook and code resources are available exclusively to paying subscribers through contacting mlengineerchannel@gmail.com.

Syllabus

MLOPS: Protect and Redact Private Information in DICOM Images #datascience #machinelearning

Taught by

The Machine Learning Engineer

Reviews

Start your review of MLOPS: Protect and Redact Private Information in DICOM Images

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.