| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_af92759c928daeb7f0daabbb0499f059 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30024
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10064 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-82
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-695
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-187 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-187
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
| filingDate |
2018-04-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fd6fc6514cdb40e456abbc10f04b0d4b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2cfd80f18db3680d57a7676843a600a3
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_27b46a0742f1794dde1201af48d2718c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_41977d1e7844220b58372521dcb61d5e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_93cb14296813c9f7d3c144598a432a9c |
| publicationDate |
2018-11-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2018315190-A1 |
| titleOfInvention |
Image analysis method, apparatus, and program, and method of producing deep learning algorithm |
| abstract |
An image analysis method according one or more embodiments may analyze a form of a cell using a deep learning algorithm with a structure of a neural network. The image analysis method may include: generating data for analysis from an image for analysis in which an analysis target cell is captured; inputting the data for analysis into the deep learning algorithm; and generating data indicating a form of the analysis target cell using the deep learning algorithm. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114881541-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2020349415-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10903043-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11216693-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11325398-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11663250-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11675821-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11321831-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2019298288-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-3561766-A4
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11093729-B2 |
| priorityDate |
2017-04-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |