Patent · US Active

Multi-task learning framework for fully automated assessment of coronary artery disease

US11678853B2 · kind B2 · utility

5Cited by

4References

17Claims

0Family size

Assignee

Siemens Healthcare Limited · DE

Inventors

Mehmet Akif Gulsun · Princeton, US
Diana Ioana Stoian · Brașov, RO
Puneet Sharma · Rahway, US
Max Schöbinger · Hirschaid, DE
Vivek Singh · Monmouth Junction, US

Key dates

Filing date	Mar 9, 2021
Grant date	Jun 20, 2023
Priority date	—
Expiry date	Oct 22, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06V2201/03
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Systems and methods for automated assessment of a vessel are provided. One or more input medical images of a vessel of a patient are received. A plurality of vessel assessment tasks for assessing the vessel is performed using a machine learning based model trained using multi-task learning. The plurality of vessel assessment tasks are performed by the machine learning based model based on shared features extracted from the one or more input medical images. Results of the plurality of vessel assessment tasks or a combination of the results of the plurality of vessel assessment tasks are output.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.