Invention Grant
- Patent Title: Automatic contour adaptation using three sub-networks of a neural network
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Application No.: US17248926Application Date: 2021-02-12
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Publication No.: US11544854B2Publication Date: 2023-01-03
- Inventor: Philip P. Novosad , Silvain Beriault
- Applicant: Elekta Limited
- Applicant Address: CA Montreal
- Assignee: Elekta Limited
- Current Assignee: Elekta Limited
- Current Assignee Address: CA Montreal
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/149 ; G06T7/00 ; G06T7/33 ; A61N5/10 ; G06T5/00 ; G06T7/11

Abstract:
Systems and methods are disclosed for performing operations comprising: receiving first and second images depicting an anatomy of a subject; obtaining a segmentation associated with the first image; applying a trained neural network to estimate the adapted segmentation corresponding to the anatomy depicted in the second image, the trained network consisting of three sub-networks: a registration sub-network, generating an initial segmentation estimate representing a deformation of the segmentation associated with the first image to fit the anatomy depicted in the second image, a segmentation sub-network, generating a second initial segmentation estimate for the second image, and a third refinement sub-network, combining the two initial segmentations and generating a refined segmentation for the second image.
Public/Granted literature
- US20220180524A1 AUTOMATIC CONTOUR ADAPTATION USING NEURAL NETWORKS Public/Granted day:2022-06-09
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