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:
Feb. 10, 2026

Filed:

Nov. 07, 2023
Applicant:

Merck Sharp & Dohme Llc, Rahway, NJ (US);

Inventors:

Shaoyan Pan, Decatur, GA (US);

Yiqiao Liu, Pittsburgh, PA (US);

Antong Chen, Blue Bell, PA (US);

Gregory Goldmacher, Lincoln, MA (US);

Assignee:

Merck Sharp & Dohme LLC, Rahway, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/00 (2022.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 10/7715 (2022.01); G06V 10/7753 (2022.01); G06V 2201/03 (2022.01);
Abstract

A system and method of multi-stage training of a transformer-based machine-learning model. The system performs at least two stages of the following three stages of training: During a first stage, the system pre-trains a transformer encoder via a first machine-learning network using an unlabeled 3D image dataset. During a second stage, the system fine-tunes the pre-trained transformer encoder via a second machine-learning network via a labeled 2D image dataset. During a third stage, the system further fine-tunes the previously pre-trained transformer encoder or fine-tuned transformer encoder via a third machine-learning network using a labeled 3D image dataset.


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