Systems and methods for image segmentation using a scalable and compact convolutional neural network
US11574406B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 19, 2020 |
| Grant date | Feb 7, 2023 |
| Priority date | — |
| Expiry date | Apr 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30004
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the disclosure provide systems and methods for segmenting an image. An exemplary system includes a communication interface configured to receive the image acquired by an image acquisition device. The system further includes a memory configured to store a multi-level learning network comprising a plurality of convolution blocks cascaded at multiple levels. The system also includes a processor configured to apply a first convolution block and a second convolution block of the multi-level learning network to the image in series. The first convolution block is applied to the image and the second convolution block is applied to a first output of the first convolution block. The processor is further configured to concatenate the first output of the first convolution block and a second output of the second convolution block to obtain a feature map and obtain a segmented image based on the feature map.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.