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:
Aug. 25, 2026

Filed:

Nov. 17, 2022
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Maulik Yogeshbhai Pandya, Bangalore, IN;

Anil Pawar, Bangalore, IN;

Ravindra Patil, Bangalore, IN;

Chaitanya Kulkarni, Bangalore, IN;

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 5/40 (2006.01); G06T 7/00 (2017.01); G06T 7/13 (2017.01); G06T 7/60 (2017.01); G06V 10/762 (2022.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 5/40 (2013.01); G06T 7/0012 (2013.01); G06T 7/13 (2017.01); G06T 7/60 (2013.01); G06V 10/762 (2022.01); G06T 2207/30096 (2013.01);
Abstract

A computer implemented method for use in selecting training data for annotation by an annotator as part of an active-learning machine learning process. The selected training data is for use in training a model to take as input a medical image and output a segmentation of the medical image. The method comprises: providing () an unlabeled medical image as input to the model and obtaining a segmentation of the unlabeled medical image as output from the model; a) determining () whether a geometric property of a segment of the segmentation satisfies a geometric criteria of a radiological feature represented by the segment; and/or b) determining whether an edge region of the segment satisfies an edge criteria. The method then comprises selecting () the unlabeled medical image as training data that is to be annotated by the annotator as part of the active-learning machine learning process, if the segment does not satisfy the geometric criteria and/or the edge criteria.


Find Patent Forward Citations

Pandya, Maulik. (2026). Selecting training data for annotation (U.S. Patent No. 12718930). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12718930

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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