US 11,954,855 B2
Method and apparatus for evaluating drug
Jong Wuk Son, Daegu (KR); Kook Rae Cho, Daegu (KR); Eun Joo Kim, Daegu (KR); and Eun Sook Choi, Daegu (KR)
Assigned to DAEGU GYEONGBUK INSTITUTE OF SCIENCE AND TECHNOLOGY, Daegu (KR)
Filed by DAEGU GYEONGBUK INSTITUTE OF SCIENCE AND TECHNOLOGY, Daegu (KR)
Filed on Nov. 17, 2021, as Appl. No. 17/528,309.
Claims priority of application No. 10-2020-0164629 (KR), filed on Nov. 30, 2020.
Prior Publication US 2022/0172352 A1, Jun. 2, 2022
Int. Cl. G06T 7/00 (2017.01); G06V 10/70 (2022.01); G06V 20/69 (2022.01); G16C 20/70 (2019.01)
CPC G06T 7/0012 (2013.01) [G06V 10/70 (2022.01); G06V 20/69 (2022.01); G16C 20/70 (2019.02); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A drug evaluation method performed by a drug evaluation apparatus using deep learning-based image processing technology, the drug evaluation method comprising:
acquiring cell images in response to a drug to be evaluated;
loading an image processing-based learning model trained so as to predict molar concentrations;
outputting molar concentrations of cells corresponding to the cell images by applying the learning model to the acquired cell images; and
calculating a drug evaluation value used to evaluate effects of the drug on the cells based on the molar concentrations of the cells corresponding to the cell images output through the learning model.