Image segmentation using neural network method
US9947102B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 26, 2016 |
| Grant date | Apr 17, 2018 |
| Priority date | — |
| Expiry date | Aug 26, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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 a three-dimensional image acquired by an imaging device, and selecting a plurality of stacks of adjacent two-dimensional images from the three-dimensional image. The method may further include segmenting, by a processor, each stack of adjacent two-dimensional images using a 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 plurality of stacks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.