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:
Jan. 30, 2024

Filed:

Nov. 15, 2019
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Juergen Weese, Norderstedt, DE;

Thomas Blaffert, Hamburg, DE;

Tom Brosch, Hamburg, DE;

Hans Barschdorf, Dassendorf, DE;

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 18/21 (2023.01); G06N 20/00 (2019.01); G06F 18/40 (2023.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G06F 18/2178 (2023.01); G06F 18/2148 (2023.01); G06F 18/40 (2023.01); G06N 20/00 (2019.01); G06V 2201/03 (2022.01);
Abstract

A system and computer-implemented method are provided for annotation of image data. A user is enabled to iteratively annotate the image data. An iteration of said iterative annotation comprises generating labels for a current image data part based on user-verified labels of a previous image data part, and enabling the user to verify and correct said generated labels to obtain user-verified labels for the current image data part. The labels for the current image data part are generated by combining respective outputs of a label propagation algorithm and a machine-learned classifier trained on user-verified labels and image data and applied to image data of the current image data part. The machine-learned classifier is retrained using the user-verified labels and the image data of the current image data part to obtain a retrained machine-learned classifier.


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