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.

Date of Patent:
Jul. 14, 2026

Filed:

Mar. 28, 2022
Applicant:

Carnegie Mellon University, Pittsburgh, PA (US);

Inventors:

John Michael Galeotti, Pittsburgh, PA (US);

Ling Yu Hung, Pittsburgh, PA (US);

Assignee:

Carnegie Mellon University, Pittsburgh, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 7/10 (2017.01); G06V 10/762 (2022.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 7/10 (2017.01); G06V 10/762 (2022.01); G06T 2207/20081 (2013.01);
Abstract

Provided are systems, methods, and computer program products for segmenting an image. A method includes segmenting each image in a sequence of images including a needle into a needle and at least one needle artifact based on processing each image with a first machine-learning model trained with a plurality of hard labels for a plurality of images, resulting in a plurality of hard-labeled images, transforming each hard-labeled image of the plurality of hard-labeled images into a soft-labeled image including pixel values corresponding to an effect of the at least one needle artifact, resulting in a plurality of soft-labeled images, and segmenting at least one image of the sequence of images based on processing the at least one image with a second machine-learning model trained at least partially with the plurality of soft-labeled images.


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