TB Case Browser Image Text Detection
Description
Without OCR technology, validation of text on images is manually intensive and, without proper controls, can create the risk of sensitive information coming into the system.
Detailed example
User uploads a DICOM image, which is converted and passed to the AWS Rekognition service. Output is a JSON block with predictions on the location of text within an image.
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Provides additional protection against PII/PHI ingress into the TB Portals imaging dataset in a far more automated process.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Existing TB Portals images with and without text are used to evaluate performance.