Invention Grant
- Patent Title: Computer-implemented method to increase the accuracy of machine learning models for medical image processing
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Application No.: US16789489Application Date: 2020-02-13
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Publication No.: US11334992B2Publication Date: 2022-05-17
- Inventor: Alexander Schmidt-Richberg , Martin Bergtholdt , Tobias Klinder
- 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 Micah-Shalom Kesselman
- Priority: EP19157254 20190214
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06K9/62 ; G06T7/10 ; G06N20/00

Abstract:
There is provided a computer implemented method (200) for medical image processing. The method comprises providing (202) a database of medical images and providing (204) an initial machine learning model which is trained for segmenting or classifying a medical feature in the medical images. The method also comprises extracting (206) a subset of medical images from the database based on a similarity score of the medical images and training (208) the machine learning model using the extracted subset of medical images in order to provide a refined machine learning model.
Public/Granted literature
- US20200265579A1 Computer-implemented method for medical image processing Public/Granted day:2020-08-20
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