| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_1b4df81c5dda672e3b1723888b239760 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2201-1035
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-8466
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2201-102 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-693
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-84
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-698
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-241
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-695 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-15
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-17 |
| filingDate |
2021-08-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_413201ddc9439fabe11eeb60eef92125
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_44b213a4797370f1789dd07ddcd30087
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3619dc2d82118eca199b915fb95257cb
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_97a6f529a02365bdea0b01f5fcae1165
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0739d145c76c7efaeb116116a175cc36
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a4dfd5de0676e2b8323c36e40e101f72
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_51d97e7e21de95ef7d4b5c7ef64eadc1
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_058d747446880eaf085fc6f2d8ab95f1
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1d39037fb1a76e935130e3c24876e481
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7256fb31cad4d89d48b79c1179c64bc0 |
| publicationDate |
2022-02-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
JP-2022033035-A |
| titleOfInvention |
Intelligent identification method and system of calcium oxalate crystals based on microscopic images |
| abstract |
PROBLEM TO BE SOLVED: To provide an intelligent identification method for calcium oxalate crystals, which solves problems of error, time and work efficiency due to manual identification by an operator. SOLUTION: This is a step of acquiring training data of calcium oxalate crystals, and the training data includes a step including a plurality of crystal types of calcium oxalate crystals and training data using a deep convolution neural network. The step of obtaining a deep convolutional neural network model for identifying calcium oxalate crystals and the feature matching of the microscopic images of the collected sample using the deep convolutional neural network model are performed, and the crystal type of the calcium oxalate crystal contained in the collected sample is performed. This includes a step of generating and outputting the identification result of the calcium oxalate crystal of the collected sample according to the crystal type of the calcium oxalate crystal contained in the collected sample. [Selection diagram] Fig. 1 |
| priorityDate |
2020-08-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |