US 12,131,475 B2
Systems and methods for automated digital image selection and pre-processing for automated content analysis
Russell H. Amundson, Merion Station, PA (US); Saurabh Bhargava, Eden Prairie, MN (US); Rama Krishna Singh, Greater Noida (IN); Ravi Pande, Noida (IN); Vishwakant Gupta, Noida (IN); Gaurav Mantri, Gurugram (IN); Abhinav Agrawal, Gulabpura (IN); and Sapeksh Suman, Greater Noida West (IN)
Assigned to UnitedHealth Group Incorporated, Minnetonka, MN (US)
Filed by UnitedHealth Group Incorporated, Minnetonka, MN (US)
Filed on Mar. 4, 2021, as Appl. No. 17/191,868.
Claims priority of provisional application 62/991,686, filed on Mar. 19, 2020.
Prior Publication US 2021/0295551 A1, Sep. 23, 2021
Int. Cl. G06T 7/00 (2017.01); G06F 18/2137 (2023.01); G06F 18/24 (2023.01); G06T 3/60 (2024.01); G06T 7/11 (2017.01); G06T 7/33 (2017.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G16H 30/40 (2018.01); G16H 40/67 (2018.01)
CPC G06T 7/0014 (2013.01) [G06F 18/21375 (2023.01); G06F 18/24 (2023.01); G06T 3/60 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/337 (2017.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G16H 30/40 (2018.01); G16H 40/67 (2018.01); G06T 2207/10024 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30012 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30088 (2013.01); G06T 2207/30096 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving, using one or more processors, a source data file containing one or more images;
standardizing, using the one or more processors, the source data file to a defined file type to generate a standardized source data file;
performing, using the one or more processors, histography color segmentation to identify images within the standardized source data file;
extracting, using the one or more processors, one or more of the identified images from the standardized source data file;
executing, using the one or more processors, a machine-learning based model for identifying features within the one or more extracted identified images; and
aligning, using the one or more processors, the extracted images based at least in part on the identified features.