System and method for automatically detecting a physiological condition from a medical image of a patient
US11341631B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 5, 2018 |
| Grant date | May 24, 2022 |
| Priority date | — |
| Expiry date | Nov 20, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure is directed to a method and system for automatically detecting a physiological condition from a medical image of a patient. The method may include receiving the medical image acquired by an imaging device. The method may further include detecting, by a processor, target objects and obtaining the corresponding target object patches from the received medical image. And the method may further include determining, by the processor, a first parameter using a first learning network for each target object patch. The first parameter represents the physiological condition level of the corresponding target object, and the first learning network is trained by adding one or more auxiliary classification layers. This method can quickly, accurately, and automatically predict target object level and/or image (patient) level physiological condition from a medical image of a patient by means of a learning network, such as 3D learning network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.