http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110503147-B

Outgoing Links

Predicate Object
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30068
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http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10132
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20104
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-267
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-25
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-241
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-25
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-26
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
filingDate 2019-08-22-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-04-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2022-04-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-110503147-B
titleOfInvention Multimodal Image Classification System Based on Correlation Learning
abstract The present disclosure discloses a multimodal image classification system based on correlation learning. The image segmentation module is configured to: perform image segmentation on the mammography mammography image to be classified to obtain a first region of interest ROI; perform image segmentation on the breast ultrasound image to be classified to obtain a second region of interest ROI; The feature extraction module is configured to: extract the first image feature from the first region of interest ROI; extract the second image feature from the second region of interest ROI; the classification output module is configured to: the first image The feature and the second image feature are simultaneously input into the modality-related embedding model obtained by pre-training, and the current patient breast image classification result is output.
priorityDate 2019-08-22-04:00^^<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/compound/CID23932
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419405613

Total number of triples: 27.