http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110400301-A

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filingDate 2019-07-25-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_866ca02d050e219aceba1a0957878dc3
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publicationDate 2019-11-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-110400301-A
titleOfInvention An artificial intelligence screening method for stroke based on eye features
abstract The present invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence screening method for stroke based on eye features, the specific steps of which are: (1) marking and preprocessing the collected fundus color photos; (2) ) Construct and optimize the deep convolutional neural network model; (3) Obtain the fundus image of the patient to be identified, use the deep convolutional neural artificial intelligence model to identify the fundus features, and obtain the classification result of the fundus image with or without stroke; this method can efficiently , Convenient and non-invasive screening of stroke high-risk groups.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114171162-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115862300-A
priorityDate 2019-07-25-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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