| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_59ffd8e8bb7f7ccb2d07d2fb72f6218f |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30104
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K2209-05
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V2201-03 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6269
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-653
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B6-507
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-00214 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B6-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
| filingDate |
2019-01-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2019-08-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2b837e276189c930c344841b598305af
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f631ab505711ed7032a7460b91a309b1
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0342d1c9e78ac20f09664056dc5920dc |
| publicationDate |
2019-08-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-10395366-B2 |
| titleOfInvention |
Method and system for assessing vessel obstruction based on machine learning |
| abstract |
Methods and systems are provided for assessing the presence of functionally significant stenosis in one or more coronary arteries, further known as a severity of vessel obstruction. The methods and systems can implement a prediction phase that comprises segmenting at least a portion of a contrast enhanced volume image data set into data segments corresponding to wall regions of the target organ, and analyzing the data segments to extract features that are indicative of an amount of perfusion experiences by wall regions of the target organ. The methods and systems can obtain a feature-perfusion classification (FPC) model derived from a training set of perfused organs, classify the data segments based on the features extracted and based on the FPC model, and provide, as an output, a prediction indicative of a severity of vessel obstruction based on the classification of the features. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11599996-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10699407-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11004198-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2021287365-A1 |
| priorityDate |
2017-03-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |