| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ee602c630e57f59c6cfc1c1634e36064 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-5608
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30016
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-5608
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4848
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-143
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-136
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-41
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4836
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4842
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B45-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-56
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B45-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-136
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-143
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-055 |
| filingDate |
2019-05-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2023-01-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_46ad0e2e41d06cefb9dacc0f7bf62216
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_46942a26386d5c71d7192a86d7166dd6
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a5984f20d3d269da5f8c202020b30101 |
| publicationDate |
2023-01-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-11555877-B2 |
| titleOfInvention |
Radiographic-deformation and textural heterogeneity (r-DepTH): an integrated descriptor for brain tumor prognosis |
| abstract |
Embodiments facilitate generation of a prediction of long-term survival (LTS) or short-term survival (STS) of Glioblastoma (GBM) patients. A first set of embodiments discussed herein relates to training of a machine learning classifier to determine a prediction for LTS or STS based on a radiographic-deformation and textural heterogeneity (r-DepTH) descriptor generated based on radiographic images of tissue demonstrating GBM. A second set of embodiments discussed herein relates to determination of a prediction of disease outcome for a GBM patient of LTS or STS based on an r-DepTH descriptor generated based on radiographic imagery of the patient. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022229669-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11789743-B2 |
| priorityDate |
2018-07-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |