The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 10, 2025
Filed:
Jan. 26, 2022
Applicant:
Siemens Healthineers Ag, Forchheim, DE;
Inventors:
Pranjal Vaidya, Mayfield Heights, OH (US);
Mehmet Akif Gulsun, Princeton, NJ (US);
Puneet Sharma, Princeton Junction, NJ (US);
Assignee:
Siemens Healthineers AG, Forchheim, DE;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/25 (2022.01); G06T 7/00 (2017.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06V 10/25 (2022.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 2207/10081 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30101 (2013.01); G06V 2201/032 (2022.01);
Abstract
Systems and methods for automatic assessment of a lesion are provided. One or more input medical images of a vessel of a patient is received. A lesion is defined in the one or more input medical images. A region of interest around the lesion is defined in the one or more input medical images. Radiomic features are extracted from the region of interest. An assessment of the lesion is determined using a machine learning based classifier network based on the radiomic features. The assessment of the lesion is output.