| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_c58a362565a0616bcc3901fcbf9643de
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_234d013a45d0e2712b9fbd93f9dccf1b |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30016
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10072 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-73
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0033
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0042
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-165
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0014 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 |
| filingDate |
2021-01-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2022-07-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_26579a0931a47d8bbc60c2c8d3166940
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5a2b54e7d46490634fefd147580cf84b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c62949d202a7b065b2705ae7e5b16d0c |
| publicationDate |
2022-07-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-11379982-B2 |
| titleOfInvention |
Method for training model of deep neural network, and method and system using the model to determine whether there is abnormality in brain |
| abstract |
A method for determining whether there is an abnormality in a brain includes steps of: receiving a to-be-determined (TBD) 3D brain image; implementing the calibration procedure on the TBD 3D brain image; generating a first TBD image of WM, a second TBD image of GM, and a third TBD image of CSF based on a multi-voxel pattern of the TBD 3D brain image; and inputting the first TBD image of WM into a first DNN model, the second TBD image of GM into a second DNN model, and the third TBD image of CSF into a third DNN model to determine whether there is an abnormality in the white matter, the gray matter and the cerebrospinal fluid, respectively. |
| priorityDate |
2020-02-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |