Invention Grant
- Patent Title: Improving segmentations of a deep neural network
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Application No.: US17298718Application Date: 2019-12-02
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Publication No.: US11842275B2Publication Date: 2023-12-12
- Inventor: Eva Vandersmissen
- Applicant: AGFA NV
- Applicant Address: BE Mortsel
- Assignee: Agfa NV
- Current Assignee: Agfa NV
- Current Assignee Address: BE Mortsel
- Agency: Leydig, Voit & Mayer, Ltd.
- Priority: EP 210459 2018.12.05
- International Application: PCT/EP2019/083245 2019.12.02
- International Announcement: WO2020/114941A 2020.06.11
- Date entered country: 2021-06-01
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06N3/08 ; G06T7/12 ; G06T7/143 ; G06V10/94 ; G06V10/25 ; G06V10/75 ; G06V10/764 ; G06V10/776 ; G06V10/80 ; G06V10/82 ; G06V10/48 ; G06V10/26 ; G06V10/46

Abstract:
This invention is related to a method to improve the performance of a deep neural network (10) for the identification of a segmentation target (111) in a medical image (12, 110), comprising the steps of performing n training steps on said deep neural network (10) for the identification of said region of interest on two different representations (13, 14) of the same segmentation target (111), said representations (13,14) being definitions of the same segmentation target (111).
Information query