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:
Sep. 01, 2026

Filed:

Mar. 18, 2022
Applicant:

Cedars-sinai Medical Center, Los Angeles, CA (US);

Inventors:

Piotr Slomka, Los Angeles, CA (US);

Aditya Killekar, Beverly Hills, CA (US);

Sebastien Cadet, Los Angeles, CA (US);

Damini Dey, Los Angeles, CA (US);

Assignee:

CEDARS-SINAI MEDICAL CENTER, Los Angeles, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/62 (2017.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G06T 7/0012 (2013.01); G06T 7/62 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30101 (2013.01);
Abstract

Convolutional long short-term memory (LSTM) networks are leveraged to segment and/or quantify medical imaging data. A multi-branch architecture makes use of an attention branch and a main branch. The main branch includes a dense block followed by a segmentation head, and is configured to consider a single input slice of the imaging data. This main branch is able to segment larger and easier-to-classify targets. The attention branch, however, makes use of a sequential processor that includes a convolutional LSTM (ConvLSTM) followed by a segmentation head and an attention head. This attention branch is configured to process an input slice and additional adjacent slices. This attention branch is able to segment smaller and more difficult to classify targets.


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