Invention Grant
- Patent Title: Annotating medical images
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Application No.: US16315413Application Date: 2017-07-17
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Publication No.: US10998096B2Publication Date: 2021-05-04
- Inventor: Merlijn Sevenster , Gabriel Ryan Mankovich , Paul Joseph Chang
- Applicant: KONINKLIJKE PHILIPS N.V.
- Applicant Address: NL Eindhoven
- Assignee: KONINKLIJKE PHILIPS N.V.
- Current Assignee: KONINKLIJKE PHILIPS N.V.
- Current Assignee Address: NL Eindhoven
- Priority: EP16194610 20161019
- International Application: PCT/EP2017/067972 WO 20170717
- International Announcement: WO2018/015327 WO 20180125
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G16H30/40 ; G16H50/20 ; G16H40/63 ; G06F19/00 ; G16H70/60 ; G06T7/00

Abstract:
A system and method are provided for enabling a user to annotate a medical image. A collection of key-value pairs is provided, in which a key represents an image-observable quantity and a value represents the value of the image-observable quantity. A collection of structured finding objects is provided, wherein each structured finding object represents a set of key-value pairs, each set of key-value pairs representing a different annotation of the medical image. The user is enabled to select one or more of the collection of key-value pairs, thereby obtaining a user-selected structured finding object which represents a preliminary annotation of the medical image by the user. At least one recommended structured finding object is selected by using the user-selected structured finding object as input to a probabilistic recommendation algorithm. Feedback is provided to the user on the basis of the recommended structured finding object. The annotation is well suited for, e.g., pointer-based selection via a graphical user interface, speech recognition, etc. Moreover, machine interpretability may be improved compared to conventional string-based annotation.
Public/Granted literature
- US20190259494A1 ANNOTATING MEDICAL IMAGES Public/Granted day:2019-08-22
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