Systems and methods for image segmentation
US11488021B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 18, 2020 |
| Grant date | Nov 1, 2022 |
| Priority date | — |
| Expiry date | Oct 10, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein are neural network-based systems, methods and instrumentalities associated with image segmentation that may be implementing using an encoder neural network and a decoder neural network. The encoder network may be configured to receive a medical image comprising a visual representation of an anatomical structure and generate a latent representation of the medical image indicating a plurality of features of the medical image. The latent representation may be used by the decoder network to generate a mask for segmenting the anatomical structure from the medical image. The decoder network may be pre-trained to learn a shape prior associated with the anatomical structure and once trained, the decoder network may be used to constrain an output of the encoder network during training of the encoder network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.