| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_268be9afa00cf55b5aa72b1612151ecb |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30061
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2200-24
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K2209-051
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V2201-031 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B6-03
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-22
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-25
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6202
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6215
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-751
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-3233
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-761
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-653
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/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-25 |
| filingDate |
2021-02-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c5bc201622491b802277030453525bbb |
| publicationDate |
2021-06-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2021166382-A1 |
| titleOfInvention |
Similarity determination apparatus, similarity determination method, and similarity determination program |
| abstract |
A region division unit divides a target region of a first medical image into a plurality of regions. A finding classification unit classifies each pixel of the first medical image into at least one finding. A feature amount calculation unit calculates a first feature amount for each finding. A region similarity derivation unit derives a region similarity between the first medical image and a second medical image for each of the divided regions. A similarity derivation unit performs a weighting operation for a plurality of region similarities with a weighting coefficient corresponding to at least one of a size of each of the divided regions or a size of a specific finding included in each of the divided regions to derive a similarity between the first medical image and the second medical image. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022172367-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11361443-B2 |
| priorityDate |
2018-08-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |