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. 15, 2024

Filed:

Sep. 03, 2020
Applicant:

The Regents of the University of California, Oakland, CA (US);

Inventors:

Hyun Kim, Los Angeles, CA (US);

Yu Shi, Fremont, CA (US);

Jonathan Gerald Goldin, Oakland, CA (US);

Weng Kee Wong, Oakland, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 5/00 (2006.01); A61B 6/00 (2006.01); A61B 6/03 (2006.01); G06V 10/25 (2022.01); G06V 10/77 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/0037 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); A61B 6/032 (2013.01); A61B 6/5217 (2013.01); G06V 10/25 (2022.01); G06V 10/7715 (2022.01); G06T 2207/10081 (2013.01); G06T 2207/30101 (2013.01); G06V 2201/03 (2022.01); G06V 2201/07 (2022.01);
Abstract

A method for training a machine learning algorithm that classifies predictive regions-of interest ('ROI') of progression of idiopathic pulmonary fibrosis. The method includes acquiring a set of computed tomography (CT) images of a plurality of patients and selecting a plurality of ROIs within the set of images. Each of the ROIs designates a label that indicates progression of pulmonary fibrosis and training a machine learning algorithm by inputting the plurality of ROIs and the associated labels into the algorithm. The algorithm identifies the ROIs in the set of images as indicating regions of pulmonary fibrosis within the set of images based on the features.


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