US 12,346,410 B2
Tissue microenvironment analysis based on tiered classification and clustering analysis of digital pathology images
Rohit Bhargava, Urbana, IL (US); and Shachi Mittal, Urbana, IL (US)
Assigned to The Board of Trustees of the University of Illinois, Urbana, IL (US)
Filed by The Board of Trustees of the University of Illinois, Urbana, IL (US)
Filed on Oct. 1, 2021, as Appl. No. 17/449,774.
Claims priority of provisional application 63/086,473, filed on Oct. 1, 2020.
Prior Publication US 2022/0108123 A1, Apr. 7, 2022
Int. Cl. G06F 18/2431 (2023.01); G06F 18/23213 (2023.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06V 10/40 (2022.01); G06V 10/94 (2022.01); G16H 10/40 (2018.01); G16H 15/00 (2018.01); G16H 30/40 (2018.01)
CPC G06F 18/2431 (2023.01) [G06F 18/23213 (2023.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06V 10/40 (2022.01); G06V 10/95 (2022.01); G16H 10/40 (2018.01); G16H 15/00 (2018.01); G16H 30/40 (2018.01); G06T 2207/20084 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/03 (2022.01)] 17 Claims
OG exemplary drawing
 
1. A method for characterizing a tissue based on analysis of digital pathology images of the tissue, the method comprising:
(a) accessing segmented digital pathology image data with a computer system, wherein the segmented digital pathology image data comprise digital pathology images of a tissue that have been segmented into two or more different cellular compartments of the tissue;
(b) applying the segmented digital pathology image data to a clustering algorithm using the computer system, generating output as clustered feature data comprising clusters of the segmented digital pathology image data that indicate separated tissue microenvironment components of the tissue;
(c) computing spatial feature parameter data for clusters in the clustered feature data using the computer system; and
(d) generating a report with the computer system, wherein the report characterizes the tissue based on the spatial feature parameter data, wherein the report indicates a likelihood of disease in the tissue.