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:
Feb. 04, 2025
Filed:
May. 11, 2018
Applicant:
Verathon Inc., Bothell, WA (US);
Inventor:
Joon Hwan Choi, Bothell, WA (US);
Assignee:
Verathon Inc., Bothell, WA (US);
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/62 (2017.01); A61B 5/00 (2006.01); A61B 8/00 (2006.01); A61B 8/08 (2006.01); A61B 8/14 (2006.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 7/01 (2023.01); G06T 7/00 (2017.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G06T 7/62 (2017.01); A61B 5/7267 (2013.01); A61B 8/085 (2013.01); A61B 8/0866 (2013.01); A61B 8/0883 (2013.01); A61B 8/0891 (2013.01); A61B 8/14 (2013.01); A61B 8/42 (2013.01); A61B 8/463 (2013.01); A61B 8/5223 (2013.01); A61B 8/5292 (2013.01); A61B 8/565 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 7/01 (2023.01); G06T 7/0014 (2013.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 5/4325 (2013.01); A61B 5/4381 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30084 (2013.01);
Abstract
A system may include a probe configured to transmit ultrasound signals to a target of interest, and receive echo information associated with the transmitted ultrasound signals. The system may also include at least one processing device configured to process the received echo information using a machine learning algorithm to generate probability information associated with the target of interest. The at least one processing device may further classify the probability information and output image information corresponding to the target of interest based on the classified probability information.