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:
Aug. 03, 2021

Filed:

Jun. 06, 2018
Applicant:

Pathai, Inc., Boston, MA (US);

Inventors:

Andrew H. Beck, Brookline, MA (US);

Aditya Khosla, Watertown, MA (US);

Assignee:

Path AI, Inc., Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2006.01); G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06T 7/194 (2017.01); G06N 5/04 (2006.01); G06F 16/58 (2019.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); G06F 16/5866 (2019.01); G06N 5/046 (2013.01); G06T 7/194 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/30004 (2013.01);
Abstract

In some aspects, the described systems and methods provide for a method for predicting tissue characteristics for a pathology image. A statistical model trained on multiple annotated pathology images is used. Each of the training pathology images includes an annotation describing tissue characteristics for one or more portions of the image. The method includes accessing a pathology image for predicting tissue characteristics. A trained statistical model is retrieved from a storage device. A set of patches is defined from the pathology image. Each of the patches in the set includes a subset of pixels from the corresponding pathology image. The set of patches is processed using the trained statistical model to predict respective annotations for each patch in the set. The predicted annotations are stored on the storage device.


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