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.
Patent No.:
Date of Patent:
Nov. 18, 2025
Filed:
Mar. 30, 2021
Verily Life Sciences Llc, South San Francisco, CA (US);
Dave Steiner, Mountain View, CA (US);
Michael Terry, Mountain View, CA (US);
Jimbo Wilson, Mountain View, CA (US);
Andrei Kapishnikov, Mountain View, CA (US);
Ben Wedin, Mountain View, CA (US);
Kunal Nagpal, Mountain View, CA (US);
Davis Foote, Mountain View, CA (US);
Carrie Cai, Mountain View, CA (US);
Liron Yatziv, Mountain View, CA (US);
Matthew Symonds, Mountain View, CA (US);
Craig Mermel, Mountain View, CA (US);
Pan-Pan Jiang, Mountain View, CA (US);
Adam Pearce, Mountain View, CA (US);
Rory Sayres, Mountain View, CA (US);
Samantha Winter, Mountain View, CA (US);
Cameron Chen, Mountain View, CA (US);
Verily Life Sciences LLC, Dallas, TX (US);
Abstract
One example method includes receiving a digital image of a needle core prostate biopsy, displaying, using a display device, a magnified portion of the digital image, obtaining, from a deep learning model, Gleason scores corresponding to patches of the magnified portion of the digital image, and displaying, using the display device, a superimposed overlay on the magnified portion of the digital image based on the Gleason scores and corresponding confidence values of the Gleason scores, the superimposed overlay comprising one or more outlines corresponding one or more Gleason scores associated with the magnified portion of the digital image and comprising image patches having colors based on a Gleason score of the Gleason scores corresponding to an underlying portion of the magnified portion of the digital image and a confidence value of the corresponding Gleason score.