US 11,927,736 B2
Methods and apparatus for fine-grained HIL index determination with advanced semantic segmentation and adversarial training
Kai Ma, West Windsor, NJ (US); Yao-Jen Chang, Princeton, NJ (US); Terrence Chen, Princeton, NJ (US); and Benjamin S. Pollack, Jersey City, NJ (US)
Assigned to Siemens Healthcare Diagnostics Inc., Tarrytown, NY (US)
Appl. No. 17/251,744
Filed by Siemens Healthcare Diagnostics Inc., Tarrytown, NY (US)
PCT Filed Jun. 10, 2019, PCT No. PCT/US2019/036339
§ 371(c)(1), (2) Date Dec. 11, 2020,
PCT Pub. No. WO2019/241128, PCT Pub. Date Dec. 19, 2019.
Claims priority of provisional application 62/685,335, filed on Jun. 15, 2018.
Prior Publication US 2021/0133971 A1, May 6, 2021
Int. Cl. G02B 21/34 (2006.01); G01N 35/00 (2006.01); G06F 18/214 (2023.01); G06F 18/241 (2023.01); G06F 18/2431 (2023.01); G06T 7/00 (2017.01); G06V 10/10 (2022.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01)
CPC G02B 21/34 (2013.01) [G01N 35/00732 (2013.01); G06F 18/241 (2023.01); G06F 18/2431 (2023.01); G06T 7/0012 (2013.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G01N 2035/00752 (2013.01); G06F 18/214 (2023.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01); G06V 10/16 (2022.01)] 18 Claims
OG exemplary drawing
 
1. A method of characterizing a specimen container, comprising:
capturing an image of the specimen container with an image capture device, the specimen container including a serum or plasma portion of a specimen therein;
training a deep semantic segmentation network with a discriminative network such that the deep semantic segmentation network generates a homogeneously structured output;
processing pixel data of the image of the specimen container using the deep semantic segmentation network executing on a computer to determine a classification index of the serum or plasma portion; and
outputting from the deep semantic segmentation network the classification index of the serum or plasma portion, wherein the classification index comprises hemolytic, icteric, lipemic, and normal classes, and each of the hemolytic, icteric, and lipemic classes comprises five to seven sub-classes.