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:
Jul. 05, 2022

Filed:

May. 19, 2020
Applicant:

University of Pittsburgh—of the Commonwealth System of Higher Education, Pittsburgh, PA (US);

Inventors:

S. Chakra Chennubhotla, Pittsburgh, PA (US);

D. Lansing Taylor, Pittsburgh, PA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); A61N 1/372 (2006.01); G06T 7/12 (2017.01); G06T 7/155 (2017.01); H01Q 1/27 (2006.01); H01Q 7/00 (2006.01); G06T 7/162 (2017.01); G06T 7/187 (2017.01); G06T 7/11 (2017.01); G06T 7/174 (2017.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); G06T 7/00 (2017.01); G06V 10/10 (2022.01); G06V 10/26 (2022.01); G06V 10/56 (2022.01); G06V 10/426 (2022.01); G06V 20/69 (2022.01);
U.S. Cl.
CPC ...
A61N 1/37229 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G06T 7/155 (2017.01); G06T 7/162 (2017.01); G06T 7/174 (2017.01); G06T 7/187 (2017.01); G06V 10/10 (2022.01); G06V 10/26 (2022.01); G06V 10/426 (2022.01); G06V 10/56 (2022.01); G06V 20/695 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); H01Q 1/273 (2013.01); H01Q 7/00 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/10064 (2013.01); G06T 2207/20036 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30096 (2013.01);
Abstract

Graph-theoretic segmentation methods for segmenting histological structures in H&E stained images of tissues. The method rely on characterizing local spatial statistics in the images. Also, a method for quantifying intratumor spatial heterogeneity that can work with single biomarker, multiplexed, or hyperplexed immunofluorescence (IF) data. The method is holistic in its approach, using both the expression and spatial information of an entire tumor tissue section and/or spot in a TMA to characterize spatial associations. The method generates a two-dimensional heterogeneity map to explicitly elucidate spatial associations of both major and minor sub-populations.


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