US 12,287,320 B2
Methods and apparatus for hashing and retrieval of training images used in HILN determinations of specimens in automated diagnostic analysis systems
Venkatesh NarasimhaMurthy, Hillsborough, NJ (US); Vivek Singh, Princeton, NJ (US); Yao-Jen Chang, Princeton, NJ (US); Benjamin S. Pollack, Jersey City, NJ (US); Ankur Kapoor, Plainsboro, NJ (US); and Rayal Raj Prasad Nalam Venkat, Princeton, NJ (US)
Assigned to Siemens Healthcare Diagnostics Inc., Tarrytown, NY (US)
Appl. No. 17/755,467
Filed by Siemens Healthcare Diagnostics Inc., Tarrytown, NY (US)
PCT Filed Oct. 22, 2020, PCT No. PCT/US2020/056922
§ 371(c)(1), (2) Date Apr. 29, 2022,
PCT Pub. No. WO2021/086721, PCT Pub. Date May 6, 2021.
Claims priority of provisional application 62/929,066, filed on Oct. 31, 2019.
Prior Publication US 2024/0168006 A1, May 23, 2024
Int. Cl. G01N 33/49 (2006.01); G06F 18/2431 (2023.01); G06T 7/00 (2017.01); G06T 7/10 (2017.01); G16H 10/40 (2018.01); G16H 50/20 (2018.01); G01N 35/04 (2006.01)
CPC G01N 33/491 (2013.01) [G06F 18/2431 (2023.01); G06T 7/0016 (2013.01); G06T 7/10 (2017.01); G16H 10/40 (2018.01); G16H 50/20 (2018.01); G01N 2035/0406 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of characterizing a specimen in an automated diagnostic analysis system, comprising:
receiving a plurality of training images to train an HILN network of a quality check module comprising a computer in the automated diagnostic analysis system, each of the training images depicting a sample specimen in a specimen container; and
assigning a hash code to each of the training images via a hashing network of the HILN network to facilitate retrieval of the one or more of the training images from a computer memory.