| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_af92759c928daeb7f0daabbb0499f059 |
| classificationCPCAdditional |
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
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30024 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-82
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/G06T7-187
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-48 |
| filingDate |
2017-04-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2cfd80f18db3680d57a7676843a600a3
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a62de8fa1bec68119ade429f3fd27a72
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_93cb14296813c9f7d3c144598a432a9c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fd6fc6514cdb40e456abbc10f04b0d4b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_41977d1e7844220b58372521dcb61d5e |
| publicationDate |
2018-11-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
JP-2018185759-A |
| titleOfInvention |
Image analysis method, apparatus, program, and deep learning algorithm manufacturing method |
| abstract |
To analyze the morphology of a cell more accurately. An image analysis method is an image analysis method for analyzing the morphology of a cell using a deep learning algorithm 60 having a neural network structure, wherein analysis data 80 is obtained from an analysis image 78 including cells to be analyzed. The analysis data 80 is generated and input to the deep learning algorithm 60, and the deep learning algorithm 60 generates data 83 indicating the form of the cell to be analyzed. [Selection] Figure 3 |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114677604-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114677604-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-7079742-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2020087310-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-7167668-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2021157397-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2020129298-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022113367-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2019195304-A |
| priorityDate |
2017-04-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |