IMAGE SEGMENTATION METHOD USING NEURAL NETWORK Russian patent published in 2020 - IPC G06T7/11 

Abstract RU 2720440 C1

FIELD: data processing.

SUBSTANCE: present invention relates to image segmentation. In one embodiment, a computer-implemented three-dimensional image segmentation method is provided. Method may include receiving a three-dimensional image obtained by an image forming apparatus and selecting a plurality of stacks of adjacent two-dimensional images from the three-dimensional image. Method may further include segmentation by a processor of each stack of adjacent two-dimensional images using a neural network model. Method may also involve determining, by a card processor, marks for a three-dimensional image by aggregating segmentation results from a plurality of stacks.

EFFECT: technical result consists in improvement of accuracy of automatic segmentation of images.

24 cl, 8 dwg

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RU 2 720 440 C1

Authors

Xu, Jiaofeng

Han, Xiao

Dates

2020-04-29Published

2017-08-23Filed