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 |
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.
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