http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115222055-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_34d6a279e6cdd624c15f390442c3508e
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10081
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00
filingDate 2021-04-16-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_bab447c1f7017f5310317d93ade0eb76
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a2b02cccff433e43e1bf0da1505f66c0
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3b5ba44f2b30101cf90555ae5cf1a9bc
publicationDate 2022-10-21-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-115222055-A
titleOfInvention An image processing model training method and system
abstract The embodiments of this specification disclose an image processing model training method and system. The method includes: acquiring a plurality of training samples, wherein each training sample in the plurality of training samples includes a sample low-energy image; inputting the training sample into an image processing model, and determining a base material density image corresponding to the sample low-energy image; Label one or more of the base material density image, the sample low-energy image, the sample high-energy image, the sample topological data, and the base material density image, take the optimization objective loss function as the training goal, adjust the parameters of the image processing model, and get the training Good image processing model.
priorityDate 2021-04-16-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID454029609
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID24601

Total number of triples: 19.