Automatic method and system for vessel refine segmentation in biomedical images using tree structure based deep learning model
US10573005B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 1, 2019 |
| Grant date | Feb 25, 2020 |
| Priority date | — |
| Expiry date | Aug 1, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30101
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the disclosure provide systems and methods for analyzing a biomedical image including at least one tree structure object. The system includes a communication interface configured to receive a learning model and a plurality of model inputs derived from the biomedical image. The biomedical image is acquired by an image acquisition device. The system further includes at least one processor configured to apply the learning model to the plurality of model inputs to analyze the biomedical image. The learning model includes a first network configured to process the plurality of model inputs to construct respective feature maps and a second network configured to process the feature maps collectively. The second network is a tree structure network that models a spatial constraint of the tree structure object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.