http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20210157795-A
Outgoing Links
Predicate | Object |
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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 |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID426263294 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID54740351 |
Total number of triples: 17.