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:
May. 20, 2025

Filed:

Feb. 03, 2022
Applicant:

GE Precision Healthcare Llc, Milwaukee, WI (US);

Inventors:

Vincent Morard, Chassieu, FR;

Jorge Hernandez Londono, Versailles, FR;

Assignee:

GE Precision Healthcare LLC, Waukesha, WI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06N 3/08 (2023.01); G16H 30/40 (2018.01); H04L 67/12 (2022.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G06N 3/08 (2013.01); G16H 30/40 (2018.01); G06T 2200/04 (2013.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20104 (2013.01); G06T 2207/30004 (2013.01); H04L 67/12 (2013.01);
Abstract

Techniques are described that facilitate interactive segmentation of medical images with low latency in a cloud-based medical imaging application. According to an embodiment, a system is provided that comprises a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components comprise a reception component that receives a compressed representation of a three-dimensional (3D) medical image generated from the 3D medical image by an encoder network of a deep neural network model comprising an encoder network and a decoder network, an interaction component that receives user input relative to a displayed portion of the 3D medical image indicating an object included in the displayed portion for segmentation, and a segmentation component that generates a segmentation mask for the object based on the user input using the compressed representation and the decoder network.


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