| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d68e6843d2a84d7bc7dc40919a93b8f6 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-344
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-32
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11
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/G06F30-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-33
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11
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/G06T7-32 |
| filingDate |
2020-08-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2727e9fa59d741deb2df704007f3c668
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_485fc6bd0ff5f05b20c520eac3570320
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_88d87276886f9656195610d5a0c78dca
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cf6dce0021de01cf121e68070c4014a4 |
| publicationDate |
2022-05-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-114503158-A |
| titleOfInvention |
Neural Networks for Image Registration and Image Segmentation Trained Using a Registration Simulator |
| abstract |
Apparatus, systems and techniques for performing registration between images. In at least one embodiment, the one or more neural networks are trained to derive the first correspondence between the at least two images by generating the first correspondence and applying the at least two images and the first correspondence to the neural network to derive common features between the at least two images. The two correspondences indicate the registration of common features between at least two images, and the first correspondences are generated by simulating a registration process of registering the images. |
| priorityDate |
2019-08-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |