Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_347b2f353adb931f8a4f4a848a7b7011 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0c4322cb4de342be2dbedcbe0c278f6f http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_fe29f846c6e36da5dec06fdea614213f http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_9a073fc67227f5a2a9dcfcdc6b097140 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_211fffb72b2ecfb4ad0034d6769d8eaa |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10072 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30008 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-055 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10116 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20104 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B6-469 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B6-505 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-48 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B6-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-055 |
filingDate |
2009-09-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_657395ccb53cc8a4144a91dfbed9374f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7cb6748bd88b5685f8e73f9452fb822c http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0e8d03be7d298deae0b9a3d0fce81afd http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f775aacf0594fd272d20bb63fa27de00 |
publicationDate |
2010-03-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
WO-2010033210-A2 |
titleOfInvention |
Systems and methods for generating an osteoarthritis progression predictor and systems and methods for using the predictor |
abstract |
Example systems and methods of generating an indicator of osteoarthritis (OA) progression are described. Fractal dimension curves are generated for horizontal and vertical trabecular components associated with a region of interest of a joint image. A statistical model is used to model shapes of the fractal dimension curves and a predictor of OA progression is calculated based on shape parameters of the statistical model. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-9968322-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/AT-515149-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/AT-515149-B1 |
priorityDate |
2008-09-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |