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:
Apr. 21, 2025

Filed:

Jan. 11, 2021
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Soumabha Bhowmick, Bangalore, IN;

Subhendu Seth, Bangalore, IN;

Karthik Krishnan, Bangalore, IN;

Celine Firtion, Surat, IN;

Pallavi Vajinepalli, Bangalore, IN;

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/10 (2016.12); G06T 7/00 (2016.12); G06T 7/11 (2016.12); G06T 7/70 (2016.12); G06V 10/25 (2021.12); G06V 10/26 (2021.12); G06V 10/764 (2021.12); G06V 10/774 (2021.12); G06V 10/82 (2021.12);
U.S. Cl.
CPC ...
G06T 7/10 (2016.12); G06T 7/0012 (2012.12); G06T 7/11 (2016.12); G06T 7/70 (2016.12); G06V 10/25 (2021.12); G06V 10/267 (2021.12); G06V 10/764 (2021.12); G06V 10/774 (2021.12); G06V 10/82 (2021.12); G06T 2207/10132 (2012.12); G06T 2207/20081 (2012.12); G06T 2207/20084 (2012.12); G06T 2207/20132 (2012.12); G06T 2207/30044 (2012.12); G06V 2201/03 (2021.12);
Abstract

The invention relates to a computer-implemented method for automatically detecting anatomical structures () in a medical image () of a subject, the method comprising applying an object detector function () to the medical image, wherein the object detector function performs the steps of: (A) applying a first neural network () to the medical image, wherein the first neural network is trained to detect a first plurality of classes of larger-sized anatomical structures (), thereby generating as output the coordinates of at least one first bounding box () and the confidence score of it containing a larger-sized anatomical structure; (B) cropping () the medical image to the first bounding box, thereby generating a cropped image () containing the image content within the first bounding box (); and (C) applying a second neural network () to the cropped medical image, wherein the second neural network is trained to detect at least one second class of smaller-sized anatomical structures (), thereby generating as output the coordinates of at least one second bounding box () and the confidence score of it containing a smaller-sized anatomical structure.


Find Patent Forward Citations

Loading…