http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102270917-B1
Outgoing Links
Predicate | Object |
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classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B8-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B8-5207 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B8-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 |
filingDate | 2019-06-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2021-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2021-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | KR-102270917-B1 |
titleOfInvention | Method for automatic measurement of amniotic fluid volume based on artificial intelligence model |
abstract | The present invention relates to a method for automatically measuring the amount of uterine amniotic fluid based on an artificial intelligence model, comprising the steps of: selecting and pre-processing a plurality of previously acquired ultrasound images to obtain a plurality of training images labeled with an intrauterine amniotic fluid region; training an artificial intelligence model for predicting a positive area through the plurality of training images; predicting a region of amniotic fluid in the patient image through the artificial intelligence model when an ultrasound image of a patient's uterus is input from an ultrasound device; extracting a region of interest by horizontally connecting from the left edge to the right edge of the amniotic fluid region; extracting the longest straight line length having a predetermined width while sequentially scanning the region of interest in a horizontal direction; and converting the longest straight line length into a positive water quantity and outputting the converted quantity according to a preset positive quantity conversion ratio. |
priorityDate | 2019-06-27-04:00^^<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/compound/CID962 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 |
Total number of triples: 17.