US 11,682,111 B2
Semi-supervised classification of microorganism
Vito Paolo Pastore, Genoa (IT); and Simone Bianco, San Francisco, CA (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Mar. 18, 2020, as Appl. No. 16/823,149.
Prior Publication US 2021/0292805 A1, Sep. 23, 2021
Int. Cl. G06T 7/00 (2017.01); G06V 20/69 (2022.01); G06V 10/82 (2022.01); C12Q 1/04 (2006.01); G06F 18/2415 (2023.01); G06V 10/762 (2022.01)
CPC G06T 7/0002 (2013.01) [C12Q 1/04 (2013.01); G06F 18/2415 (2023.01); G06T 7/0014 (2013.01); G06V 10/763 (2022.01); G06V 10/82 (2022.01); G06V 20/69 (2022.01); G06V 20/693 (2022.01); G06V 20/695 (2022.01); G06V 20/698 (2022.01); G06T 2207/20084 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method comprising:
classifying known species from among a population of microorganisms, wherein each of the known species is classified according to a collection of features extracted from image data;
developing a neural network for each of the known species;
applying each of the neural networks to the population of microorganisms, thereby identifying microorganisms with features that are different from the features of the known species;
identifying (i) known species with anomalies from within the population of microorganisms and (ii) unknown species, based upon the features that are different from the features of each of the known species.