| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_41686a979f961bce6a9855b4b409a5b8 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2015-1402
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2015-1081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2015-1006
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2015-1488 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-69
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-764
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-82
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6219
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-507
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N15-1429
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N15-1463
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-231
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N15-147
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-4647 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N15-14
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764 |
| filingDate |
2020-12-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5183b86d9af7548d302d229c42d974c5 |
| publicationDate |
2021-07-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2021208056-A1 |
| titleOfInvention |
Deep learning method in aiding patient diagnosis and aberrant cell population identification in flow cytometry |
| abstract |
Aspects of the present disclosure include methods for identifying one or more components of a sample in a flow stream using a dynamic algorithm (e.g., a machine learning algorithm). Methods according to certain embodiments include detecting light from a sample having particles in a flow stream, generating a data signal of parameters of the particles from the detected light, generating an image based on the data signal, comparing the image with one or more image classification parameters and classifying one or more components of the image using a dynamic algorithm that updates the image classification parameters based on the classified components in the image. Systems and integrated circuit devices programmed for practicing the subject methods, such as on a flow cytometer, are also provided. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116468940-A |
| priorityDate |
2020-01-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |