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:
Nov. 30, 2021

Filed:

Apr. 14, 2021
Applicant:

Retrace Labs, San Francisco, CA (US);

Inventors:

Vasant Kearney, San Francisco, CA (US);

Ashwini Jha, San Francisco, CA (US);

Wenxiang Deng, San Francisco, CA (US);

Hamid Hekmatian, San Francisco, CA (US);

Ali Sadat, San Francisco, CA (US);

Assignee:

Retrace Labs, San Francisco, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06N 3/04 (2006.01); G16H 30/20 (2018.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06T 7/11 (2017.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30036 (2013.01);
Abstract

A machine learning model is trained to predict pixel spacing, distance, and volumetric measurements. Training images are obtained by inpainting around an original image and scaling the inpainted image to obtain the training image having a different pixel spacing than the original image. The machine learning model may include an encoder, a transformer, a first TC layer, and a second TC layer. During training, loss may be obtained from a comparison of the output to the first TC layer to a coarse pixel spacing matrix and a comparison of the output of the second TC layer to a fine pixel spacing matrix. During utilization, the pixel spacing of an image may be obtained using the machine learning model and used to correct the image or measurements obtained from the image.


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