Invention Grant
- Patent Title: Identifying boundaries of lesions within image data
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Application No.: US17600405Application Date: 2020-04-03
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Publication No.: US12079989B2Publication Date: 2024-09-03
- Inventor: Dimitrios Mavroeidis , Stojan Trajanovski , Bart Jacob Bakker
- 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
- Agent Sherry Austin
- Priority: EP 167213 2019.04.04
- International Application: PCT/EP2020/059583 2020.04.03
- International Announcement: WO2020/201516A 2020.10.08
- Date entered country: 2021-09-30
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/12 ; G06T7/187 ; G06T7/70 ; G06V10/70 ; G16H30/40 ; G16H50/20

Abstract:
The present invention provides a method, computer program and processing system for identifies boundaries of lesions within image data. The image data is processed using a machine learning algorithm to generate probability data and uncertainty data. The probability data provides, for each image data point of the image data, a probability data points indicating a probability that said image data point is part of a lesion. The uncertainty data provides, for each probability data point, an uncertainty data point indicating an uncertainty of the said probability data point. The uncertainty data is processed to identify or correct boundaries of the lesions.
Public/Granted literature
- US20220180516A1 IDENTIFYING BOUNDARIES OF LESIONS WITHIN IMAGE DATA Public/Granted day:2022-06-09
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