Generating abnormality data for a medical scan via a generic model and a fine-tuned model
US11114189B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2019 |
| Grant date | Sep 7, 2021 |
| Priority date | — |
| Expiry date | Oct 8, 2039 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A multi-model medical scan analysis system is operable to generate a generic model by performing a training step on image data of a plurality of medical scans and corresponding labeling data. A plurality of fine-tuned models corresponding to one of a plurality of abnormality types can be generated by performing a fine-tuning step on the generic model. Abnormality detection data can be generated for a new medical scan by performing utilizing the generic model. One of the plurality of abnormality types is determined to be detected in the new medical scan based on the abnormality detection data, and a fine-tuned model that corresponds to the abnormality type is selected. Additional abnormality data is generated for the new medical scan by utilizing the selected fine-tuned model. The additional abnormality data can be transmitted to a client device for display via a display device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.