http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110503147-B
Outgoing Links
Predicate | Object |
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classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30068 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10116 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
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID23932 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419405613 |
Total number of triples: 27.