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1. (WO2018039380) SYSTEMS AND METHODS FOR IMAGE SEGMENTATION USING CONVOLUTIONAL NEURAL NETWORK

Pub. No.:    WO/2018/039380    International Application No.:    PCT/US2017/048271
Publication Date: Fri Mar 02 00:59:59 CET 2018 International Filing Date: Thu Aug 24 01:59:59 CEST 2017
IPC: G06T 7/00
G06T 7/11
G06T 7/174
Applicants: ELEKTA, INC.
Inventors: XU, Jiaofeng
HAN, Xiao
Title: SYSTEMS AND METHODS FOR IMAGE SEGMENTATION USING CONVOLUTIONAL NEURAL NETWORK
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.