Invention Grant
- Patent Title: Automatic detection and replacement of identifying information in images using machine learning
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Application No.: US16556865Application Date: 2019-08-30
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Publication No.: US11183294B2Publication Date: 2021-11-23
- Inventor: Dustin M. Sargent , Sun Young Park , Dale Seegmiller Maudlin
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Edell, Shapiro & Finnan, LLC
- Agent John Noh
- Main IPC: G16H30/40
- IPC: G16H30/40 ; G06T11/60 ; G06T7/11 ; G06T7/155 ; G06N3/08 ; G06N3/04 ; G06N20/20 ; G06T7/174

Abstract:
Methods and systems are provided for managing identifying information for an entity. The identifying information of the entity embedded in or associated with a digital image is detected, wherein the identifying information is selected from the group consisting of: text information and image information corresponding to one or more features of an entity. The text information may be removed from the digital image. The image information may be replaced with one or more computer generated synthetic images, wherein the computer generated synthetic images are based on a natural appearance of the digital image. The synthetic content, which may be generated by a GAN, is based on a natural appearance of the image. The medical image may also contain PHI in text-based fields associated with private tags/fields, which are automatically identified and removed using the systems and methods provided herein.
Public/Granted literature
- US20210065881A1 AUTOMATIC DETECTION AND REPLACEMENT OF IDENTIFYING INFORMATION IN IMAGES USING MACHINE LEARNING Public/Granted day:2021-03-04
Information query