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:
Oct. 20, 2026

Filed:

Aug. 15, 2023
Applicant:

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

Inventors:

Sandeep Dutta, Celebration, FL (US);

Christopher Philip Bridge, Somerville, MA (US);

Charles Jiali Lu, Boston, MA (US);

Mitchel B Harris, Brookline, MA (US);

Bharti Khurana, Brookline, MA (US);

Praveer Singh, Denver, CO (US);

Mehak Aggarwal, San Jose, CA (US);

Sujay Shivanand Kakarmath, Reading, PA (US);

Ashwin Vaswani, Pittsburgh, PA (US);

Amy Deubig, Dousman, WI (US);

Saad Sirohey, Pewaukee, WI (US);

Jayashree Kalpathy-Cramer, Morrison, CO (US);

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/73 (2017.01); G06T 7/00 (2017.01); G16H 30/40 (2018.01); G16H 50/50 (2018.01);
U.S. Cl.
CPC ...
G06T 7/75 (2017.01); G06T 7/0014 (2013.01); G16H 30/40 (2018.01); G16H 50/50 (2018.01); G06T 2200/04 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20092 (2013.01); G06T 2207/30012 (2013.01);
Abstract

Systems or techniques that facilitate hybrid 3D-to-2D slice-wise object localization ensembles are provided. In various embodiments, a system can access at least one three-dimensional voxel array. In various aspects, the system can localize, via execution of a deep learning ensemble, an object depicted in the at least one three-dimensional voxel array. In various instances, the deep learning ensemble can receive as input the at least one three-dimensional voxel array. In various cases, the deep learning ensemble can produce as output a set of two-dimensional object location indicators respectively corresponding to a set of two-dimensional slices of the at least one three-dimensional voxel array.


Find Patent Forward Citations

Dutta, Sandeep. (2026). Hybrid 3d-to-2d slice-wise object localization ensembles (U.S. Patent No. 12770292). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12770292

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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