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:
Jun. 24, 2025

Filed:

Nov. 17, 2020
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Sven Krönke, Hamburg, DE;

Daniel Bystrov, Hamburg, DE;

Jens Von Berg, Hamburg, DE;

Stewart Matthew Young, Hamburg, DE;

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/77 (2022.01); G06V 10/62 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 10/62 (2022.01); G06V 10/7715 (2022.01); G06V 2201/03 (2022.01);
Abstract

The present invention relates to landmark and/or temporal event detection. It is proposed to utilize previously learned spatial statistical correlations between multiple landmarks in order to regularize convolutional neural networks (CNNs) either as a post-processing step or during training in order to utilize anatomical prior knowledge, reduce the false-positive prediction rate, and/or increase the accuracy and stability of the algorithm. The proposed apparatus and method may also be applied to improve the detection of correlated events in e.g., time-series by leveraging prior knowledge.


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Krönke, Sven. (2025). Probabilistic regularization of convolutional neural networks for multiple-feature detection based on correlations (U.S. Patent No. 12340573). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12340573

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