US 12,002,262 B2
Digital histopathology and microdissection
Bing Song, La Canada, CA (US); and Gregory Chu, Los Angeles, CA (US)
Assigned to NantOmics, LLC, Culver City, CA (US)
Filed by NantOmics, LLC, Culver City, CA (US)
Filed on Dec. 23, 2022, as Appl. No. 18/088,487.
Application 18/088,487 is a continuation of application No. 16/733,192, filed on Jan. 2, 2020, granted, now 11,682,195.
Application 16/733,192 is a continuation of application No. 15/791,209, filed on Oct. 23, 2017, granted, now 10,607,343, issued on Mar. 31, 2020.
Claims priority of provisional application 62/557,737, filed on Sep. 12, 2017.
Claims priority of provisional application 62/411,290, filed on Oct. 21, 2016.
Prior Publication US 2023/0129222 A1, Apr. 27, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 10/82 (2022.01); G06F 18/20 (2023.01); G06F 18/21 (2023.01); G06F 18/23213 (2023.01); G06F 18/2411 (2023.01); G06F 18/2413 (2023.01); G06F 18/2415 (2023.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06N 7/01 (2023.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/187 (2017.01); G06V 10/44 (2022.01); G06V 10/50 (2022.01); G06V 10/764 (2022.01); G06V 10/778 (2022.01); G06V 20/69 (2022.01); G06N 20/00 (2019.01)
CPC G06V 10/82 (2022.01) [G06F 18/21 (2023.01); G06F 18/2193 (2023.01); G06F 18/23213 (2023.01); G06F 18/2411 (2023.01); G06F 18/24137 (2023.01); G06F 18/24147 (2023.01); G06F 18/24155 (2023.01); G06F 18/285 (2023.01); G06F 18/29 (2023.01); G06N 3/04 (2013.01); G06N 3/045 (2023.01); G06N 7/01 (2023.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/187 (2017.01); G06V 10/454 (2022.01); G06V 10/50 (2022.01); G06V 10/764 (2022.01); G06V 10/7796 (2022.01); G06V 20/695 (2022.01); G06N 20/00 (2019.01); G06T 2207/10056 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20156 (2013.01); G06T 2207/30024 (2013.01)] 44 Claims
OG exemplary drawing
 
1. A computer implemented method of generating at least one shape of a region of interest in a digital image, the method comprising:
identifying, by an image processing engine, a set of target patches from a collection of image patches as a function of pixel content within the collection of image patches, wherein the collection of image patches comprises a tiled digital image of a sample;
assigning, by the image processing engine, each target patch of the set of target patches an initial class probability score indicating a probability that the target patch falls within a class of interest, the initial class probability score generated by a trained classifier executed on each target patch;
generating, by the image processing engine, a first set of patches by identifying target patches having initial class probability scores that satisfy a first criteria, the first set of patches comprising a subset of the set of target patches;
generating, by the image processing engine, a second set of patches by identifying target patches having initial class probability scores that satisfy a second criteria, the second set of patches comprising a subset of the set of target patches;
calculating, by the image processing engine, a region-of-interest score for each patch in the second set of patches as a function of initial class probability scores of neighboring patches of the second set of patches and a distance to patches within the first set of patches; and
generating, by the image processing engine, one or more region-of-interest shapes by grouping neighboring patches based on their region-of-interest scores.