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:
Mar. 09, 2021

Filed:

Apr. 24, 2019
Applicant:

Corista, Llc, Concord, MA (US);

Inventors:

Eric W. Wirch, Somerville, MA (US);

Alexander Andryushkin, Ayer, MA (US);

Richard Y. Wingard, II, Newton, MA (US);

Nigel Lee, Chestnut Hill, MA (US);

Aristana Olivia Scourtas, Nahant, MA (US);

David C. Wilbur, Pelham, NH (US);

Assignee:

CORISTA, LLC, Concord, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06T 3/00 (2006.01); G06F 3/0485 (2013.01); G06F 3/0484 (2013.01); G06T 3/40 (2006.01); G06T 7/194 (2017.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06F 3/0485 (2013.01); G06F 3/04845 (2013.01); G06K 9/0014 (2013.01); G06K 9/00147 (2013.01); G06K 9/628 (2013.01); G06K 9/6253 (2013.01); G06K 9/6257 (2013.01); G06K 9/6262 (2013.01); G06T 3/0075 (2013.01); G06T 3/4053 (2013.01); G06T 7/194 (2017.01); G06F 2203/04806 (2013.01); G06T 2200/24 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20092 (2013.01); G06T 2207/30024 (2013.01);
Abstract

When reviewing digital pathology tissue specimens, multiple slides may be created from thin, sequential slices of tissue. These slices may then be prepared with various stains and digitized to generate a Whole Slide Image (WSI). Review of multiple WSIs is challenging because of the lack of homogeneity across the images. In embodiments, to facilitate review, WSIs are aligned with a multi-resolution registration algorithm, normalized for improved processing, annotated by an expert user, and divided into image patches. The image patches may be used to train a Machine Learning model to identify features useful for detection and classification of regions of interest (ROIs) in images. The trained model may be applied to other images to detect and classify ROIs in the other images, which can aid in navigating the WSIs. When the resulting ROIs are presented to the user, the user may easily navigate and provide feedback through a display layer.


Find Patent Forward Citations

Loading…