http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110826576-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-29 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-253 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-44 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-46 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2019-10-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5db9df57aea9c9cc531015edd4422ef2 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ea5f51d9c3d3e5da85857acdb2f6cf75 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7695172d85852217cce94a43ff11803e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8406f559721e9be2ef91ee413bd60938 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a24e98e478883622f3aabacd79e442b6 |
| publicationDate | 2020-02-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-110826576-A |
| titleOfInvention | A Cervical Lesion Prediction System Based on Multimodal Feature-Level Fusion |
| abstract | The invention discloses a cervical lesion prediction system based on multimodal feature level fusion, comprising a computer memory, a computer processor and a computer program stored in the computer memory and executable on the computer processor, wherein the computer memory stores cervical lesions The lesion prediction model includes an acetic acid image feature extraction network, an iodine image feature extraction network and an auxiliary module for fusing the extracted features; when a computer processor executes a computer program, the following steps are implemented: receiving the acetic acid image and iodine in the colposcopy examination image, and cut out the area containing the cervix; input the acetic acid image and the iodine image into the acetic acid image feature extraction network and the iodine image feature extraction network in the cervical lesion prediction model respectively. Feature fusion, and output prediction results after calculation. The present invention can make the prediction result more accurate, so as to assist the doctor to make correct diagnosis and judgment. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112884707-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112348059-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111882514-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112884707-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112258447-A |
| priorityDate | 2019-10-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 29.