| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_294881271413951a95f284b588a68e66 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20104
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30024
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10024
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10056 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-136
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-57496
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-4604
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-698
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-00127
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-695
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N15-0205
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-69 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-46
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-574
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
| filingDate |
2016-10-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_728d942571347c7f33e0fb12e22c4a3d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e89a1360c41a2ea21b9f6efc03b92151
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b52399d89e6180f5c61edb6a0b213255 |
| publicationDate |
2018-04-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2018101949-A1 |
| titleOfInvention |
Automated nuclei area/number estimation for ihc image analysis |
| abstract |
Automated nuclei area/number estimation utilizes a two-stage estimation framework-area estimation first followed by number estimation. After determining area information, each local patch's shape features are able to be extracted to define a local voting rule. The resulting voting score determines the strength of each local voting peak. The number of voting peaks is exactly the number of nuclei. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2023030779-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11037294-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10360434-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10783627-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110263811-A |
| priorityDate |
2016-10-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |