Invention Grant
- Patent Title: System and methods for image segmentation using convolutional neural network
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Application No.: US16161796Application Date: 2018-10-16
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Publication No.: US10346986B2Publication Date: 2019-07-09
- Inventor: Jiaofeng Xu , Xiao Han
- Applicant: Elekta, Inc.
- Applicant Address: US GA Atlanta
- Assignee: Elekta, Inc.
- Current Assignee: Elekta, Inc.
- Current Assignee Address: US GA Atlanta
- Agency: Schwegman Lundberg & Woessner, P.A.
- Agent Sanjay Agrawal
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/11 ; G06N3/04 ; G06T7/00 ; G06T7/174 ; G06N3/08

Abstract:
The present disclosure relates to systems, methods, devices, and non-transitory computer-readable storage medium for segmenting three-dimensional images. In one implementation, a computer-implemented method for segmenting a three-dimensional image is provided. The method may include receiving the three-dimensional image acquired by an imaging device, and creating a first stack of two-dimensional images from a first plane of the three-dimensional image and a second stack of two-dimensional images from a second plane of the three-dimensional image. The method may further include segmenting, by a processor, the first stack and the second stack of two-dimensional images using at least one neural network model. The method may also include determining, by the processor, a label map for the three-dimensional image by aggregating the segmentation results from the first stack and second stack.
Public/Granted literature
- US20190050992A1 SYSTEM AND METHODS FOR IMAGE SEGMENTATION USING CONVOLUTIONAL NEURAL NETWORK Public/Granted day:2019-02-14
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