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:
Mar. 04, 2025

Filed:

Sep. 16, 2019
Applicant:

Siemens Healthcare Diagnostics Inc., Tarrytown, NY (US);

Inventors:

Markus Michael Geipel, Munich, DE;

Florian Büttner, Munich, DE;

Christoph Tietz, Ottobrunn, DE;

Gaby Marquardt, Hausen, DE;

Daniela Seidel, Baiersdorf, DE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2415 (2023.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/69 (2022.01);
U.S. Cl.
CPC ...
G06V 10/764 (2022.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2415 (2023.01); G06N 3/045 (2023.01); G06V 10/82 (2022.01); G06V 20/698 (2022.01); G06V 2201/03 (2022.01);
Abstract

An image analysis device (BA) is configured to recognize imaged objects. A plurality of training images (TPIC) assigned to an object type (OT) and an object sub-type (OST) are fed into a first neural network module (CNN) to detect image features. Training output data sets (FEA) of the first neural network module are fed into a second neural network module (MLP) to detect object types using the detected image features. For each object type: training images assigned to the object type (OT, OT) are fed into the trained first neural network module, the first neural network module training output data set (FEA, FEA) generated for the respective training image is assigned to the object sub-type (OST) of the respective training image, and by means of the aforementioned sub-type assignments, a sub-type detection module (BMLP, BMLP) is configured to detect object sub-types.


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