http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11393085-B2
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_9d0195d8e1d2601847bceeee3819fdd4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_54897897002a6761b43604036b208227 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30041 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10101 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20104 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0016 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
| filingDate | 2019-08-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-07-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_aba7941a6f913cb279b22bb5444b3c58 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_be4d1c349a58fa93314770dc21d4f74e |
| publicationDate | 2022-07-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | US-11393085-B2 |
| titleOfInvention | Image analysis using machine learning and human computation |
| abstract | Methods, systems, and computer readable media for analyzing an image using machine learning and human computation. A method for analyzing an image includes providing, via multiple instances of an interactive application for analysis of the image, multiple instances, respectively, of the image and receiving, via the interactive application, data from results of analyses of the image including multiple sets of user inputs from the analyses of the multiple instances of the image, respectively. The multiple sets of user inputs are from multiple users, respectively and the multiple users are associated with the multiple instances of the interactive application, respectively. The method further includes processing the received data to identify areas of interest within the image based on the multiple sets of user inputs and analyzing the image using a machine learning algorithm to identify structures in the image based on the identified areas of interest within the image. |
| priorityDate | 2018-08-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 29.