http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20210157795-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f3ab798cca73c993bc07214575995502
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-50
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H30-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00
filingDate 2020-06-22-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9938f78e4684602e72bb2bc711bada50
publicationDate 2021-12-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber KR-20210157795-A
titleOfInvention Method to train model
abstract According to an embodiment of the present disclosure, a computer program stored in a computer-readable storage medium is disclosed. The computer program, when executed on one or more processors, causes the computer program to perform the following operations for training a model, the operations comprising: identifying another medical image set comprising features similar to a target medical image set; and training a model for detecting medical data related to the target medical image set by using at least a portion of the other medical image set.
priorityDate 2020-06-22-04:00^^<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/SID426263294
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID54740351

Total number of triples: 17.