Method for automatically recognizing liver tumor types in ultrasound images
US10614573B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 25, 2018 |
| Grant date | Apr 7, 2020 |
| Priority date | — |
| Expiry date | Sep 29, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosure relates to a method for automatically recognizing liver tumor types in ultrasound images. The method specifically comprises: using a plurality of Regions of Interest (ROIs) to represent a CEUS image; different lesions are distinguished by the performance and changes of the ROI in time and space; representing a space-time relationship between ROIs by establishing a model in time and space at the same time; and determining, by the model, a relatively appropriate ROI and relevant parameters of the model according to existing CEUS lesion samples by means of an iterative learning method. After giving a sample, an appropriate ROI can be determined and a reference diagnosis for the lesion can be given by removing part of inappropriate ROIs in advance and by means of a rapid search method.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.