US 11,721,115 B2
Systems and methods for processing images to determine image-based computational biomarkers from liquid specimens
Brandon Rothrock, New York, NY (US); Jillian Sue, New York, NY (US); Matthew Houliston, Boston, MA (US); Patricia Raciti, New York, NY (US); and Leo Grady, Darien, CT (US)
Assigned to Paige.AI, Inc., New York, NY (US)
Filed by PAIGE.AI, Inc., New York, NY (US)
Filed on Nov. 5, 2021, as Appl. No. 17/519,847.
Application 17/519,847 is a continuation of application No. 17/511,871, filed on Oct. 27, 2021.
Claims priority of provisional application 63/107,389, filed on Oct. 29, 2020.
Prior Publication US 2022/0138450 A1, May 5, 2022
Int. Cl. G06V 20/69 (2022.01); G06T 7/11 (2017.01); G06K 9/62 (2022.01); G06N 20/00 (2019.01); G06T 7/194 (2017.01); G16H 30/40 (2018.01); G06T 7/00 (2017.01); G06F 18/2431 (2023.01)
CPC G06V 20/695 (2022.01) [G06F 18/2431 (2023.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06V 20/698 (2022.01); G16H 30/40 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01)] 15 Claims
OG exemplary drawing
 
11. A system for identifying a specimen category, comprising:
at least one memory storing instructions; and
at least one processor configured to execute the instructions to perform operations comprising:
receiving one or more digital images of a cytology specimen at a digital storage device;
extracting at least one cell patch from the one or more digital images;
identifying the at least one cell patch as belonging to either cell or background;
isolating one or more cell images using the digital images, wherein isolating the one or more cell images comprises isolating a set of individual images of cells within the cell patch using a segmentation system and/or a detection system;
extracting one or more cellular features using the cell images; and
determining a specimen category from the one or more cellular features using a trained output aggregation model.