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. 21, 2025

Filed:

Sep. 01, 2022
Applicant:

Memorial Sloan Kettering Cancer Center, New York, NY (US);

Inventors:

Chao Feng, New York, NY (US);

Chad Vanderbilt, New York, NY (US);

Thomas Fuchs, New York, NY (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 3/60 (2024.01); G06T 5/70 (2024.01); G06V 10/25 (2022.01); G06V 10/762 (2022.01); G06V 10/771 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06T 3/60 (2013.01); G06T 5/70 (2024.01); G06V 10/25 (2022.01); G06V 10/762 (2022.01); G06V 10/771 (2022.01);
Abstract

Presented herein are systems and methods for classifying features from biomedical images. A computing system may identify a first portion corresponding to an ROI in a first biomedical image derived from a sample. The ROI of the first biomedical image may correspond to a feature of the sample. The computing system may generate a first embedding vector using the first portion of the first biomedical image. The computing system may apply the first embedding vector to a clustering model. The clustering model may have a feature space to define a plurality of conditions. The clustering model may be trained using a second embedding vectors generated from a corresponding second portions with at least one of a plurality of image transformation. The computing system may determine a condition for the feature based on applying the first embedding vector to the clustering model.


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